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ICML 2026 — oral-paper writing studies

Read the argument, not only the topic

This inventory preserves the official presentation identity, inspected source revision and reading status. Each available study examines framing, organization, visual explanation, comparison conditions, supporting material and wording. Downloading a PDF does not count as reading it.

Use the contribution-specific plans for a short drafting route, the atlas for measured distributions, or an individual study for its exact source pinpoints. A writing study is not a scientific replication.

168 official oral records

168 source-inspected writing studies

0 selected scientific additions

Showing 168 of 168 papers.

001 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs

Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-Tür, Hao Peng

Writing lesson: Organize a diagnostic paper around separable components and preserve failed tuning settings alongside peak performance.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

002 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Learning Unmasking Policies for Diffusion Language Models

Metod Jazbec, Theo X. Olausson, Louis Béthune, Pierre Ablin, Michael Kirchhof, Joao Monteiro, Victor Guilherme Turrisi Da Costa, Jason Ramapuram, Marco Cuturi

Writing lesson: Let captions explain simplifications and anomalous operating points; pair a speed proxy with a separate wall-clock check.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

003 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders

Zhongzhi Li, Xuansheng Wu, Yijiang Li, Lijie Hu, Ninghao Liu

Writing lesson: Map each term in a motivating error decomposition to an implemented intervention and a controlled evaluation question.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

004 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

Shaobo Wang, Xuan Ouyang, Tianyi Xu, Yuzheng Hu, Jialin Liu, Guo Chen, Tianyu Zhang, Junhao Zheng, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang

Writing lesson: Expose the mathematical approximation, actual execution path and measured overhead together when proposing a scalable training intervention.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

005 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Benchmarking at the Edge of Comprehension

Samuele Marro, Jialin Yu, Emanuele La Malfa, Oishi Deb, Jiawei Li, Yibo Yang, Ebey Abraham, Sunando Sengupta, Eric Sommerlade, Michael J. Wooldridge, Philip Torr

Writing lesson: Define exactly what a novel metric means, what is excluded from its denominator, and how dependencies enter uncertainty estimates.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

006 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

daVinci-Dev: Agent-native Mid-training for Software Engineering

Ji Zeng, Dayuan Fu, Tiantian Mi, Zhuang Yumin, Yaxing Huang, Xuefeng Li, Lyumanshan Ye, Muhang Xie, Qishuo Hua, Zhen Huang, Mohan Jiang, Hanning Wang, Jifan Lin, Yang Xiao, Jie Sun, Yunze Wu, Pengfei Liu

Writing lesson: Expose the whole training/evaluation recipe in comparison columns and place contamination or uncertainty qualifications next to the gain.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

007 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections

Łukasz Borchmann, Jordy Van Landeghem, Michał Turski, Shreyansh Padarha, Ryan Othniel Kearns, Adam Mahdi, Niels Rogge, Clémentine Fourrier, Siwei Han, Huaxiu Yao, Artemis Llabrés, Yiming Xu, Dimosthenis Karatzas, Hao Zhang, Anupam Datta

Writing lesson: Validate a benchmark's intended construct before ranking systems, then use process and item-level analyses to explain equal average scores.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

008 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics

Yichen Gong, Zhuohan Cai, Sunhao Dai, Yuqi Zhou, Zhangxuan Gu, Changhua Meng, Shuheng Shen

Writing lesson: Keep per-condition performance and across-condition reliability separate, with the success predicate and subset size visible.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

009 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning

Arnav Shah, Junzhe Li, Parsa Idehpour, Adibvafa Fallahpour, Brandon Wang, Sukjun Hwang, Bo Wang, Patrick D Hsu, Hani Goodarzi, Albert Gu

Writing lesson: For a domain architecture, pair representational diagrams with a biological confound check and measured hardware behavior.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

010 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

FLIP2: Expanding Protein Fitness Landscape Benchmarks for Real-World Machine Learning Applications

Kieran Didi, Sarah Alamdari, Alex Xijie Lu, Bruce James Wittmann, Kadina E Johnston, Ava P Amini, Ali Madani, Maya Czeneszew, Christian Dallago, Kevin K Yang

Writing lesson: Use parity plots and split-specific tables to show when an expensive intervention fails, not only its aggregate winning score.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

011 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Protein Autoregressive Modeling via Multiscale Structure Generation

Yanru Qu, Cheng-Yen Hsieh, Zaixiang Zheng, Ge Liu, Quanquan Gu

Writing lesson: Reuse one representation hierarchy across the overview, formal factorization and qualitative output sequence.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

012 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Protein Fold Classification at Scale: Benchmarking and Pretraining

Dexiong Chen, Andrei Manolache, Mathias Niepert, Karsten Borgwardt

Writing lesson: Keep dataset provenance, adaptation regime, metric and model size visible so a representation claim can be compared fairly.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

013 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

DiScoFormer: Plug-In Density and Score Estimation with Transformers

Vasily Ilin, Peter Sushko, Ranjay Krishna

Writing lesson: Separate representational possibility, learned empirical behavior and implementation-specific speed within the same architecture argument.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

014 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

LASER: Learning Active Sensing for Continuum Field Reconstruction

Huayu Deng, Jinghui Zhong, Xiangming Zhu, Yunbo Wang, Xiaokang Yang

Writing lesson: Give distinct protocols distinct result tables, especially when initial-observation prediction and continually observed reconstruction use similar error notation.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

015 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Multimodal Nested Learning for Decoupled and Coordinated Optimization

Yanglin Feng, Yang Qin, Dezhong Peng, Rui Wang, Xiaomin Song, Peng Hu

Writing lesson: Carry component names from the overview into equations, ablations and process diagnostics, while stating what each diagnostic actually measures.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

016 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Riemannian Metric Matching for Scalable Geometric Modeling of Distributions

Jacob Bamberger, Adam Gosztolai, Pierre Vandergheynst, Michael M. Bronstein, Iolo Jones

Writing lesson: Give a learned estimator its mathematical target, limiting assumptions and measured computational contract before interpreting downstream visual examples.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

017 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: Don’t Just "Fix it in Post": A Science of AI Must Study Training Dynamics

Stella Biderman, Mohammad Aflah Khan, Niloofar Mireshghallah, Catherine Arnett, Fazl Barez, Naomi Saphra

Writing lesson: Turn a position into a testable agenda with explicit criteria, carefully scoped examples and fair concessions to alternative priorities.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

018 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

A Systematic Study of Behavioral Cloning for Scientific Data Annotation

Ishaan Singh Chandok, Core Francisco Park

Writing lesson: Use controlled evaluation modes and task-level failures to explain why a smooth training curve can hide missing behavior.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

019 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

AI Engram: In Search of Memory Traces in Artificial Intelligence

Jea Kwon, Dong-Kyum Kim, Jiwon Kim, Yonghyun Kim, Woong Kook, Meeyoung Cha

Writing lesson: Translate an analogy into testable constraints, then state which interpretation survives the practical approximation.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

020 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Guaranteed Optimal Compositional Explanations for Neurons

Biagio La Rosa, Leilani H. Gilpin

Writing lesson: For an optimality claim, expose the search space and objective first, then separate certified objective quality from semantic interpretation.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

021 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination

Chufan Shi, Cheng Yang, Yaokang Wu, Linghao Jin, Bo Shui, Taylor Berg-Kirkpatrick, Xuezhe Ma

Writing lesson: Document intervention mechanics and plausible confounds, then cross-check every prose summary against its neighboring numerical table.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

022 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal

Qingdong He, Chaoyi Wang, Peng Tang, Yifan Yang, Xiaobin Hu

Writing lesson: Separate training supervision, internal guidance and deployment inputs in both prose and the pipeline diagram.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

023 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Motion Attribution for Video Generation

Xindi Wu, Despoina Paschalidou, Jun Gao, Antonio Torralba, Laura Leal-Taixé, Olga Russakovsky, Sanja Fidler, Jonathan Lorraine

Writing lesson: For amortized selection methods, report both initialization cost and per-query cost, and keep preference ties and approximation error visible.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

024 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models

Mingde Yao, Zhiyuan You, King Man Tam, Menglu Wang, Tianfan Xue

Writing lesson: For an agent application, document rollback, approximation checks and the full prompt interface alongside aggregate results.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

025 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization

Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki

Writing lesson: Pair a striking theorem with its boundary example and visibly separate proved settings from empirical extensions.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

026 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Mixtures Closest To A Given Measure: A Semidefinite Programming Approach

Srecko Durasinovic, Jean B. Lasserre, Victor Magron

Writing lesson: Make the path from exact formulation to finite relaxation and numerical extraction visible, including the certificate and tolerance choices.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

027 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

On the Convergence Rate of LoRA Gradient Descent

Siqiao Mu, Diego Klabjan

Writing lesson: Name the exact convergence quantity and assumptions before summarizing a rate, and label practical departures from the analyzed algorithm.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

028 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

Anders Bo Ipsen, Stratis Skoulakis

Writing lesson: Translate an equilibrium statement into a finite-time operational quantity, and use empirical results to motivate—not silently establish—the next theorem.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

029 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Controlled LLM Training on Spectral Sphere

Tian Xie, Haoming Luo, Haoyu Tang, Hu Yiwen, Jason Klein Liu, Qingnan Ren, Yang Wang, Xin Zhao, Rui Yan, Bing Su, Chong Luo, Baining Guo

Writing lesson: Connect a principled optimizer to concrete module granularity, solver overhead and matched target-loss measurements.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

030 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Detecting the Semantic Fixed Point: A Geometric Framework for Efficient Inference

Jiawei Gu, Ziyue Qiao, Xiao Luo

Writing lesson: Pair a cheap stopping signal with matched-compute controls and end-to-end latency, not only a reduction in layers.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

031 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios

Xinyi. Hu, Yuhao Shen, Zhang Baolin, Hengxin Zhang, Jun Dai, Shuang Ge, Chen Lei, Yue Li, Mingcheng Wan

Writing lesson: Organize a serving paper around the actual scarce resource and workload regimes, with controlled baseline implementations and explicit deployment limits.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

032 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

MuonSSM: Orthogonalizing State Space Models for Sequence Modeling

Thai Khanh Nguyen, Vo Ngoc Bich Uyen, Thieu Vo, Tan Minh Nguyen, Cuong Pham

Writing lesson: Use a shared algebraic baseline map and targeted controls to separate added capacity from the proposed update geometry.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

033 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Don’t Force the Fit: Bounded Log-Likelihood Loss for Enhanced Reasoning in Large Language Models

Feng Zhao, Hong Zhang, Yu Yang, Ruilin Zhao, Guandong Xu

Writing lesson: Make the hypothesis-to-intervention chain explicit and include a task where the intended inductive bias predictably fails.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

034 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Evaluating Robustness of Reasoning Models on Parameterized Logical Problems

Naı̈m Es-Sebbani, Esteban Marquer, Yakoub Salhi, Zied Bouraoui

Writing lesson: Define the construct, certify labels independently, and separate surface perturbations, output validity and core task difficulty.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

035 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

TG-RAG: A Retrieval-Augmented Framework for Reasoning Guidance in Specialized Domains

Liang Su, Mingyang Zhang, Yun Xiong, Tengfei Liu, Siwei Zhang, Xi Chen, Li Sun

Writing lesson: Separate knowledge, procedure and control flow, then design ablations that change one integration choice at a time.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

036 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

RAGEN-2: Reasoning Collapse in Agentic RL

Zihan Wang, Chi Gui, Xing Jin, Qineng Wang, Licheng Liu, Kangrui Wang, Shiqi Chen, Linjie Li, Zhengyuan Yang, Pingyue Zhang, Yiping Lu, Jiajun Wu, Li Fei-Fei, Lijuan Wang, Yejin Choi, Manling Li

Writing lesson: Name a failure mode with two distinguishable axes, then connect the diagnostic to interventions and explicit stress tests.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

037 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: Anthropomorphic Misalignment Research Needs Stronger Evidence

Vansh Gupta, Peter Nutter, Samuel Stante, Andreas Krause, Florian Tramèr, Lukas Fluri, Xin Chen, Anna Hedström

Writing lesson: Turn a methodological position into an explicit claim-to-evidence ladder, test plausible alternative explanations, and state what the thesis does not prohibit.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

038 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Monitoring Monitorability

Melody Y. Guan, Miles Wang, Micah Carroll, Zehao Dou, Annie Y. Wei, Marcus Williams, Benjamin Arnav, Joost Huizinga, Ian D Kivlichan, Amelia Glaese, Jakub Pachocki, Bowen Baker

Writing lesson: Separate the construct, observation access and labeling mechanism before plotting scaling trends, and explain when aggregation changes the evaluated subset.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

039 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes

Mohammad Taufeeque, Stefan Heimersheim, Adam Gleave, Chris Cundy

Writing lesson: Define competing failure modes through observable cross-checks, then choose interventions that distinguish incentive effects from incidental representation drift.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

040 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models

Woojin Kim, Sieun Hyeon, Jusang Oh, Jaeyoung Do

Writing lesson: For a new construct-measurement resource, make calibration, human review and non-comparability boundaries as visible as the end-to-end use case.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

041 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

From Feasible to Practical: Pareto-Optimal Synthesis Planning

Friedrich Hastedt, Dongda Zhang, Antonio Del Rio Chanona

Writing lesson: For domain planning, pair improved multi-objective quality with coverage losses and disclose how learned or judged objective proxies are constructed.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

042 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

ReViT: Rotational-equivariant Vision Transformers for Neural PDE Solvers

Hao Wei, Björn List, Nils Thuerey

Writing lesson: Map each architectural change to a stated invariance failure and evaluate the claimed symmetry separately from task accuracy.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

043 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers

Zander W. Blasingame, Chen Liu

Writing lesson: Separate algebraic identity, numerical stability and downstream usefulness, and preserve ablations where those objectives move in opposite directions.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

044 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Towards Sub-Second Molecular Docking as a Structural Primitive: A Quantized Consistency Diffusion Framework

Kexin Zhang, Weichen Qin, Yue Teng, Jiale Yu, Yuanyuan Ma, Jinyu Lin, Liping Sun, Jie Zheng, Jingyi Yu

Writing lesson: Attach every speed claim to its timed boundary and operating point, and expose unequal input information before comparing task accuracy.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

045 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks

Stefan Huber, Hannes Unger, Georg Schäfer, Jakob Rehrl

Writing lesson: Use an interpretable reference solution to inspect learned behavior, not just to produce one benchmark score, and keep simulation-to-hardware evidence distinct.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

046 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Maximum Likelihood Reinforcement Learning

Fahim Tajwar, Guanning Zeng, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff Schneider, Ruslan Salakhutdinov, Haiwen Feng, Andrea Zanette

Writing lesson: Trace a training objective all the way to the exact implemented estimator, explicitly recording any order, bias or protocol change introduced for practicality.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

047 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning

Harin Lee, Kevin Jamieson

Writing lesson: Explain what each bound term costs, and keep statistical optimality, computational hardness and practical runtime as distinct claims.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

048 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Optimal Decision-Making Based on Prediction Sets

Tao Wang, Edgar Dobriban

Writing lesson: Derive decisions before optimizing uncertainty sets, and test loss regimes where the proposed distinction should matter as well as where it should not.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

049 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization

Hao Zhang, Yaru Niu, Yikai Wang, Ding Zhao, Eric H. Tseng

Writing lesson: Keep the formal certificate's space and assumptions separate from behavioral outcomes, and report failures alongside physical demonstrations.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

050 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges

Usman Khan, Joseph W Durham

Writing lesson: Expose the full route from relaxation to executable output, and plot approximation quality alongside system speed instead of transferring exact guarantees to the accelerated pipeline.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

051 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

Yinpei Dai, Hongze Fu, Jayjun Lee, Yuejiang Liu, Haoran Zhang, Jianing Yang, Chelsea Finn, Nima Fazeli, Joyce Chai

Writing lesson: Make the benchmark's construct unavoidable by design, then cross representation and integration choices while separating oracle and executable protocols.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

052 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Unsupervised Partner Design Enables Robust Ad-hoc Teamwork

Constantin Ruhdorfer, Matteo Bortoletto, Victor Oei, Anna Penzkofer, Andreas Bulling

Writing lesson: Separate artificial, human and environment-shift evidence, and document corrected baseline versions explicitly when the public manuscript has evolved.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

053 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Diffract: Spectral View of LLM Domain Adaptation

Nikita Borodin, Maria Krylova, Artem Zabolotnyi, Dmitry Aspisov, Egor Shikov, Nikita Tyuplyaev, Oleg Travkin, Roman Alferov, Dmitry Vinichenko

Writing lesson: Move from descriptive diagnostics to targeted interventions, and label uncertainty by its actual source rather than using a generic multi-seed claim.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

054 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks

Yoshihiro Maruyama

Writing lesson: Give a hierarchy of model classes before a universality theorem, then show exactly which extra state or communication assumption enables the stronger result.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

055 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

On Minimum Depth and Width of Floating-Point Neural Networks for Representing Floating-Point Functions

Sejun Park, Yeachan Park, Geonho Hwang

Writing lesson: Put the computational semantics and domains in the comparison table's contract, and distinguish a tight result from a remaining upper/lower gap.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

056 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

How Many Different Outputs Can a Transformer Generate?

Maxime Meyer, Mario Michelessa, Caroline Chaux, Vincent Tan

Writing lesson: State the computational and geometric assumptions before an expressivity bound, then show the remaining theory–measurement gap and the untested theorem separately.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

057 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

Shuchen Xue, Tianyu Xie, Tianyang Hu, Zijin Feng, Jiacheng Sun, Kenji Kawaguchi, Zhenguo Li, Zhi-Ming Ma

Writing lesson: Separate confounded design axes before drawing a comparison, and keep the quality qualification adjacent to a speed headline.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

058 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion Models

Songwei Liu, Chao Zeng, Chenqian Yan, Xurui Peng, Xing Wang, Fangmin Chen, Xing Mei

Writing lesson: Present a theoretical derivation, the approximations needed to implement it, and the measured cost of the resulting correction as distinct stages.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

059 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

High-accuracy and dimension-free sampling with diffusions

Khashayar Gatmiry, Sitan Chen, Adil Salim

Writing lesson: For a theory contribution, expose the assumption/oracle contract and the route from structural lemma to algorithm guarantee before the full proof.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

060 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, Yeguo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang

Writing lesson: Separate a diagnostic comparison from the intervention it motivates, and label heterogeneous system comparisons differently from matched experiments.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

061 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling

Zhibin Duan, Guowei Rong, Zhuo Li, Bo Chen, Mingyuan Zhou, Dandan Guo

Writing lesson: Distinguish model assumptions, approximate implementation, reward diagnostics and downstream policy evidence in both the prose and the display sequence.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

062 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-Tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh

Writing lesson: For an agent-training system, give the reward loop a concrete example and disclose checkpoint, tool, repeated-trial and cost conditions next to each comparison.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

063 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Simultaneous Speech-to-Speech Translation Without Aligned Data

Tom Labiausse, Romain Fabre, Yannick Estève, Alexandre Défossez, Neil Zeghidour

Writing lesson: Qualify a broad title in the opening and separate perceptual quality, task accuracy and latency with explicit metric and supervision contracts.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

064 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Video-Based Optimal Transport for Feedback-Efficient Offline Preference-Based Reinforcement Learning

Tung Minh Luu, Hwanhee Kim, Younghwan Lee, Chang D. Yoo

Writing lesson: Map experimental questions to evidence blocks and disclose label provenance and display conventions where the reader encounters the numbers.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

065 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: Irresponsible AI: big tech’s influence on AI research and associated impacts

Alex Hernández-Garcı́a, Alexandra Volokhova, Ezekiel Williams, Dounia Shaaban Kabakibo, Mélisande Teng

Writing lesson: For a position paper, distinguish the thesis, supporting observations and action proposals, and give serious alternatives their own argumentative space.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

066 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers

Adam Karvonen, James Chua, Clément Dumas, Kit Fraser-Taliente, Subhash Kantamneni, Julian Minder, Euan Ong, Arnab Sen Sharma, Daniel Wen, Owain Evans, Samuel Marks

Writing lesson: Show precisely what crosses from training to evaluation, and separate convenient explanation interfaces from evidence of mechanistic faithfulness.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

067 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Large Language Models Develop Novel Social Biases Through Adaptive Exploration

Addison J. Wu, Ryan Liu, Xuechunzi Bai, Thomas L. Griffiths

Writing lesson: Use a controlled environment to isolate a failure mode, then test and disclose conditions under which the apparent remedy fails.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

068 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

Jianhui Chen, Yuzhang Luo, Liangming Pan

Writing lesson: Keep attribution scores, intervention evidence and downstream applications distinct, and state where scaling changes the strength of validation.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

069 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning

Haozhe Wang, Qixin Xu, Changpeng Wang, Taofeng Xue, Chong Peng, Wenhu Chen, Fangzhen Lin

Writing lesson: When a learning method relies on a judge, evaluate the judge’s error modes separately from downstream task gains and keep terminology consistent with measured reliability.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

070 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

DroneDINO: Towards Heterogeneous Routed Mixture of Experts for Drone-based Unified Object Detection

Dongdong Li, Rui Chen, Yan Fan, Yan Liu, Yangliu Kuai, Pengfei Zhu

Writing lesson: Define what a unified model actually shares, and separate broader input coverage from accuracy and computational-cost claims.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

071 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems

Haotian Wu, Di You, Pier Luigi Dragotti, Deniz Gunduz

Writing lesson: Separate theorem assumptions from the adaptive implementation and report optimization/ensemble costs alongside compact parameter counts.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

072 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Scalable Event Cloud Network for Event-based Classification

Hongwei Ren, Fei Ma, Xiaopeng Lin, Yuetong Fang, Hongxiang Huang, Yue Zhou, Yulong Huang, Haotian Fu, Ziyi Yang, Youxin Jiang, Xiangqian Wu, Bojun Cheng

Writing lesson: For efficient sensing architectures, distinguish conversion cost, network cost and hardware measurements, and expose the accuracy cost of the efficient module.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

073 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: Stop Automating Peer Review Without Rigorous Evaluation

Joachim Baumann, Jiaxin Pei, Sanmi Koyejo, Dirk Hovy

Writing lesson: Anchor a position in explicit criteria, test those criteria with complementary evidence, and distinguish necessary conditions from sufficient justification.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

074 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem

Qiyao Wei, Samuel Holt, Jing Yang, Markus Wulfmeier, Mihaela Van Der Schaar

Writing lesson: For an infrastructure position, identify who acts, what information is missing, and which parts of the proposal are demonstrated versus prospective.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

075 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning

Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Xinyi Xu, Patrick Jaillet, Bryan Kian Hsiang Low

Writing lesson: Name the desired properties separately, show which extra assumptions each extension needs, and test the boundary where the guarantee ceases to describe behavior.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

076 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives

Ander Artola Velasco, Stratis Tsirtsis, Nastaran Okati, Manuel Gomez Rodriguez

Writing lesson: Distinguish an incentive vulnerability from observed misconduct, and keep theorem restrictions and cost accounting attached to a proposed remedy.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

077 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking

Zhicheng Fang, Jingjie Zheng, Chenxu Fu, Wei Xu

Writing lesson: Keep implementation fidelity, standardized effectiveness and engineering cost as separate claims with separate denominators.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

078 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Quantifying Frontier LLM Capabilities for Container Sandbox Escape

Rahul Marchand, Art O Cathain, Jerome Wynne, Philippos Maximos Giavridis, Sam Deverett, John Wilkinson, Jason Gwartz, Harry Coppock

Writing lesson: Write the threat model and validity contract before benchmark scores, then inspect why failed trials failed.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

079 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models

Yanchen Yin, Dongqi Han, Linghui Li

Writing lesson: Distinguish correlation, intervention evidence and an engineering application, and preserve the logical difference between sufficient and exclusive explanations.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

080 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models

Jiacheng Hou, Yining Sun, Ruochong Jin, Haochen Han, Fangming Liu, Wai Kin Victor Chan, Alex Jinpeng Wang

Writing lesson: Define the measurement chain from accepted request to valid output to harmful output, then audit every headline against the corresponding table.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

081 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Exact Functional ANOVA Decomposition for Categorical Inputs Models

Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa, Jean-Michel Loubes, Joseph Muré

Writing lesson: Separate existence and exactness from computational tractability and identifiability, then label approximation evidence explicitly.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

082 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Joint Learning in the Gaussian Single Index Model

Loucas Pillaud-Vivien, Adrien Schertzer

Writing lesson: Choose a display that preserves the theoretical phenomenon and explain why a familiar summary statistic would obscure it.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

083 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

SVRG and Beyond via Posterior Correction

Nico Daheim, Thomas Möllenhoff, Ming Liang Ang, Mohammad Emtiyaz Khan

Writing lesson: When proposing an optimizer, show both the algebraic connection and comparisons under the resource accounting that could overturn a speed headline.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

084 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

A Causal Decomposition Approach for Fair Contextual Multi-Armed Bandits

Jiajun Chen, Jin Tian, Christopher John Quinn

Writing lesson: State the fairness notion, structural assumptions and violation timescale before presenting guarantees or comparing policies.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

085 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs

Shigeng Wang, Chao Li, Yangyuxuan Kang, Jiawei Fan, Anbang Yao

Writing lesson: Separate inherited model cost, calibration cost, representation size and measured deployment speed instead of treating one as a proxy for all four.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

086 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation

Zeju Qiu, Lixin Liu, Adrian Weller, Han Shi, Weiyang Liu

Writing lesson: Connect each implementation change to a measured bottleneck, and disclose system configurations that explain both wins and losses.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

087 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training

Janghwan Lee, Sihwa Lee, Jinseok Kim, Yongjik Kim, Jieun Lim, Jinwook Oh, Jungwook Choi

Writing lesson: Make the diagnostic-to-intervention link explicit, then audit broad recovery and monotonic-improvement language against every relevant table row.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

088 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs

Ziyue Li, Yang Li, Tianyi Zhou

Writing lesson: Separate offline discovery, learned selection and online execution costs, and define candidate counting whenever pass-at-k compares different search mechanisms.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

089 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action Model

Bing Hu, Zaijing Li, Rui Shao, Junda Chen, April Hua Liu, Wei-Shi Zheng, Liqiang Nie

Writing lesson: Give each latent state a temporal role and disclose the exact task subset behind broad benchmark headlines.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

090 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models

Yihan Lin, Haoyang Li, Yang Li, Haitao Shen, Yihan Zhao, Chao Shao, Jing Zhang

Writing lesson: For a systematic study, make the controlled comparison axes visible and preserve task-specific exceptions to an overall recommendation.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

091 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning

Huihan Liu, Changyeon Kim, Bo Liu, Minghuan Liu, Yuke Zhu

Writing lesson: Pair retention metrics with acquisition quality, and distinguish rapid relearning in steps from learning with fewer examples.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

092 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations

Shichao Fan, Kun Wu, Zhengping Che, Xinhua Wang, Di Wu, Fei Liao, Ning Liu, Yixue Zhang, Zhen Zhao, Zhiyuan Xu, Meng Li, Qingjie Liu, Shanghang Zhang, Min Wan, Jian Tang

Writing lesson: Label representation pretraining, policy pretraining and task adaptation separately so transfer claims reveal exactly which data were available.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

093 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: The Alignment Community is Unintentionally Building a Censor’s Toolkit

Sarah Ball, Phil Hackemann

Writing lesson: For a position paper, define the disputed concept, map evidence to the thesis, and engage serious objections before specifying who should act.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

094 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Information Flow Reveals When to Trust Language Models

Rui Xu, Yi Chen, Jiujiu Chen, Sihong Xie

Writing lesson: Distinguish discrimination, probability calibration, attribution intervention and external-reference quality instead of treating one reliability score as all four.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

095 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Modeling Hierarchical Thinking in Large Reasoning Models

G M Shahariar, Erfan Shayegani, Ali Nazari, Nael Abu-Ghazaleh

Writing lesson: Expose the distinction between descriptive state abstraction, learned intervention machinery and the separate costs of tokens and interventions.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

096 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Reward-free Alignment for Conflicting Objectives

Peter Chen, Xiaopeng Li, Xi Chen, Tianyi Lin

Writing lesson: Keep optimization guarantees, validation proxies and judged generation outcomes distinct, and make the selected objective trade-off visible.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

097 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables

Zheng Li, Feng Xie, Shenglan Nie, Xichen Guo, Ruxin Wang, Hao Zhang

Writing lesson: Use a single worked graph to connect definitions, proof claims and algorithm stages, while separating oracle guarantees from finite-sample behavior.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

098 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation

Emre Kavak, Tom Nuno Wolf, Christian Wachinger

Writing lesson: Put assumption failures before the practical estimator and preserve version-specific corrections so readers can distinguish the theorem, surrogate and implementation.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

099 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

Shengxian Ding, Haonan Gao, Pangpang Liu, Xinyuan Tian, Yize Zhao

Writing lesson: Match each interpretability claim to its own structural diagnostic, and distinguish predictive calibration from uncertainty over latent structure.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

100 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

On the Identifiability of Poisson Branching Structural Causal Model Under Latent Confounding

Jie Qiao, Zihuai Zeng, Ruichu Cai, Zhengming Chen, Zhifeng Hao

Writing lesson: Turn a family of identification rules into a visual atlas while keeping local completeness, global reconstruction and noisy estimation as separate claims.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

101 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

CoEvol-NO: State and Coordinate Co-Evolution with an Error-Driven Predictor-Corrector Paradigm for Neural Operator Transformer

Jianqiao Zeng, Ruocheng Wang, Yanzhi Liu, Hao Xiong, Junchi Yan

Writing lesson: Separate asymptotic scaling from measured constant cost, and report accuracy, ranking and distribution-shift results without merging their different conclusions.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

102 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Geometric Flow Grounding: A Unified Manifold Decoupling Framework for Dynamics Discovery and Verification

Chang Yu, Yuxuan Luo, Yixuan Du, Yuqing Zhou, Siyuan Li, Jingbo Zhou, Jiawei Jiang, Zhen Lei, Stan Z. Li

Writing lesson: When proposing one framework across domains, show the common operator, the changing supervision and the distinct validation target for each case.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

103 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Solving Time-Dependent Differential Equations with Physical Dynamical Systems

Chuan Liu, Yijie Chen, Ruibing Song, Wenhao Huang, Chunshu Wu, Deqian Kong, Ying Nian Wu, Kaiyuan Yang, Ang Li, Tony Geng

Writing lesson: For a hardware-motivated paper, identify the measurement level of every efficiency number and separate the mathematical design from its physical realization.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

104 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Training-Free Bayesian Filtering with Generative Emulators

Thomas Savary, François Rozet, Gilles Louppe

Writing lesson: Give the ideal Bayesian construction and its practical approximations distinct names, and make the provenance of realistic-looking observations explicit.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

105 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and Its Loss’ Convexity is Dispensable)

Wenxuan Zhou, Shujian Zhang, Brice Magdalou, John Lambert, Ehsan Amid, Richard Nock, Andrew Hard

Writing lesson: For a unification paper, expose each design degree of freedom and its assumptions, and use small experiments as illustrations without making them carry a broad performance claim.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

106 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions

Fan Chen, Sinho Chewi, Constantinos Costis Daskalakis, Alexander Rakhlin

Writing lesson: Present assumption regimes, oracle access, discrepancy metrics and approximation factors together so an asymptotic improvement cannot be mistaken for measured wall-clock acceleration.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

107 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Rational Transductors

Mehryar Mohri

Writing lesson: Keep architecture diagrams precise about retained components, and distinguish expressive constructions from learned solutions and component-level speed tests.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

108 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

To Grok Grokking: Provable Grokking in Ridge Regression

Mingyue Xu, Gal Vardi, Itay Safran

Writing lesson: Define the phenomenon operationally before plotting it, and distinguish sufficient-condition bounds from observed transition times and extensions beyond the theorem.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

109 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence

Shiyu Wang, Juntong Ni, Ziyi Zhang, Baichuan Mo, Xinyue Zhong, Chengxin Wang, Yuchen Fang, Zhou Ye, Yang Xiang

Writing lesson: Align an architectural motivation with the exact reduction it achieves, and keep training regimes and measurement units consistent across main text and appendix.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

110 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space

Lehui Li, Yuyao Wang, Jisheng Yan, Wei Zhang, Jinliang Deng, Haoliang Sun, Zhongyi Han, Yongshun Gong

Writing lesson: Use controlled diagnostics to justify the bottleneck, then state exactly how supervision, offline extraction and real-data evaluation differ from that diagnostic.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

111 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Markov Chain Monte Carlo without Evaluating the Target: an Auxiliary Variable Approach

Wei Yuan, Guanyang Wang

Writing lesson: Use a unifying algorithm to expose shared assumptions, then validate sampling quality separately from task accuracy and throughput.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

112 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Path-dependent Discrete Amortized Inference

Tiago Silva, Esmeralda S. Whitammer, Salem Lahlou

Writing lesson: Connect each expressivity statement to a specific policy class, and separate ideal balance identities from finite-training fit and computational overhead.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

113 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Midtraining Bridges Pretraining and Posttraining Distributions

Emmy Liu, Graham Neubig, Chenyan Xiong

Writing lesson: Use question-led headings and compact findings, but carry comparison scope and diagnostic limitations into the interpretation.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

114 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models

Long Lian, Sida Wang, Felix Juefei-Xu, Tsu-Jui Fu, Xiuyu Li, Adam Yala, Trevor Darrell, Alane Suhr, Yuandong Tian, Xi Victoria Lin

Writing lesson: Pair a concrete execution trace with explicitly different efficiency denominators, and disclose the extra hardware that buys lower latency.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

115 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior

Gül Sena Altıntaş, Malikeh Ehghaghi, Brian Lester, Fengyuan Liu, Wanru Zhao, Marco Ciccone, Colin Raffel

Writing lesson: For a benchmark paper, make the unit of comparison, fixed budget and perturbation taxonomy explicit before reporting rankings.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

116 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference

Aiwei Liu, Minghua He, Shaoxun Zeng, Sijun Zhang, Linhao Zhang, Chuhan Wu, Wei Jia, Yuan Liu, Zhou Xiao, Jie Zhou

Writing lesson: Show the altered dependency structure and its operating-point frontier together; distinguish cache behavior, decode throughput and end-to-end latency.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

117 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?

Muquan Li, Yingyi Ma, Yihong Huang, Hang Gou, Ke Qin, Ming Li, Yuan-Fang Li, Tao He

Writing lesson: Match each motivated training component to an independent control, and preserve the exact attack budget and resource trade-off in the claim.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

118 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

On the Difficulty of Learning a Meta-network for Training Data Selection

Zilin Du, Junqi Zhao, Boyang Li

Writing lesson: Connect each theoretical factor to a diagnostic and an intervention, then display the resource cost of the resulting practical remedy.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

119 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

The Signal is in the Steps: Local Scoring for Reasoning Data Selection

Hoang Anh Just, Myeongseob Ko, Ruoxi Jia

Writing lesson: Preserve the baseline’s successful regime, diagnose the changed regime, and test whether the proposed selection rule survives reasonable implementation alternatives.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

120 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Transforming Weather Data from Pixel to Latent Space

Sijie Zhao, Feng Liu, Xueliang Zhang, Hao Chen, Tao Han, Junchao Gong, Ran Tao, Pengfeng Xiao, Xinyu Gu, Lei Bai

Writing lesson: For a representation pipeline, draw the inverse transformation as well as encoding, and report matched-storage quality separately from downstream task behavior.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

121 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Distributional Inverse Reinforcement Learning

Feiyang Wu, Ye Zhao, Anqi Wu

Writing lesson: Introduce the mathematical distinction with one diagnostic picture, then keep surrogate guarantees, distribution fit and downstream performance as separate claims.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

122 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

On the Role of Computation in Reinforcement Learning

Raj Ghugare, Michał Bortkiewicz, Alicja Ziarko, Benjamin Eysenbach

Writing lesson: State which resource a baseline matches, and use a question-led experiment sequence to connect a formal distinction to observable behavior.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

123 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing

Tuan Quang Dam

Writing lesson: For a theory paper, a assumptions-and-guarantees table and executable-looking pseudocode can do the explanatory work of a figure; keep the exact cost model visible.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

124 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods

Jeong Woon Lee, Kyoleen Kwak, Daeho Kim, Hyoseok Hwang

Writing lesson: Validate a convenient training proxy against the intended mathematical quantity, and pair smoothness with useful task behavior so degenerate solutions cannot look successful.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

125 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: There are futures that benchmark-driven AI cannot see

Sobhan Lotfi, Ava Iranmanesh, Lachin Naghashyar, Ali Shirali, Fateme Nateghi Haredasht, Sanmi Koyejo, Philip Torr, Yong Suk Lee, Fazl Barez, Joel Lehman, Peter Norvig, Arvind Narayanan

Writing lesson: In a position paper, separate diagnosis, actionable proposals and serious objections; state what evidence cannot resolve the argument.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

126 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

CausalGame: Benchmarking Causal Thinking of LLM Agents in Games

Zhenhao Chen, Yongqiang Chen, Chenxi Liu, Junchi Yu, Xiangchen Song, Zijian Li, Jialin Li, Philip Torr, Bo Han, Kun Zhang

Writing lesson: For a reasoning benchmark, define the latent mechanism, permissible interventions, outcome score and process rubric separately, then validate the rubric with another observable analysis.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

127 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Characterizing, Evaluating, and Optimizing Complex Reasoning

Haoran Zhang, Yafu Li, Zhi Wang, Zhilin Wang, Shunkai Zhang, Xiaoye Qu, Yu Cheng

Writing lesson: Define a quality construct before training a model to optimize it, and keep label reliability, downstream accuracy and construction cost as separate evidence.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

128 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Rare Event Analysis of Large Language Models

Jake Mcallister Dorman, Edward Gillman, Dominic C Rose, Jamie F. Mair, Juan P. Garrahan

Writing lesson: Pair a rare-event estimate with convergence exclusions, uncertainty construction and sensitivity to additional sampling; a tail plot alone is insufficient.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

129 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models

Arnas Uselis, Andrea Dittadi, Seong Joon Oh

Writing lesson: State the model class, data-support family and stability requirement before a necessity claim, then distinguish an empirical proxy from the formal condition.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

130 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Non-Euclidean Gradient Descent Operates at the Edge of Stability

Rustem Islamov, Michael Crawshaw, Jeremy Cohen, Robert M. Gower

Writing lesson: Use consistent diagnostic panels across cases, then distinguish an exact identity, a heuristic estimate, a theorem under assumptions and an empirical mechanism test.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

131 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA

Shihao Wang, Xueru Zhang

Writing lesson: Give each proposed failure mode a named intervention and a matching diagnostic, while disclosing utility exceptions and measured implementation overhead.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

132 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Robust Contextual Optimization with Missing Covariates

Qingyuan Xu, Ruiwei Jiang

Writing lesson: Organize robust decision methods around assumptions, tractability and statistical guarantees, then evaluate decision quality and conservatism separately.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

133 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space

Jiahong Liu, Ram Samarth B B, Xinyu Fu, Menglin Yang, Weixi Zhang, Zhitao Ying, Irwin King

Writing lesson: Make ownership of parameters visible in a federated method diagram, and use local-model controls plus question-linked ablations to separate representation and collaboration gains.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

134 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

MV-FGAD: Towards Efficient and Effective Federated Graph Anomaly Detection via Multi-view Learning

Junyi Yan, Ke Liang, Hao Yu, Meng Liu, Hao Tan, Tianrui Liu, Jun-Jie Huang, Xinwang Liu

Writing lesson: For an efficient detector, show quality, runtime, communication and component contributions as separate evidence, and define any nonstandard ranking rule in the caption.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

135 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

PhenoBrain: Phenotype-Conditioned Long-Range Communication for Multi-Modal Brain Network Analysis

Lingyuan Meng, Ke Liang, Hao Li, Meng Liu, Weijia Shi, Miaomiao Li, Yang Gao, Xinwang Liu

Writing lesson: Draw every conditioning path explicitly and distinguish predictive evidence, model-derived explanations and their stability; check that appendix promises are actually fulfilled.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

136 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Towards Hierarchy–Uniformity Equilibrium: Recovering Semantic Depth in Hypergraph Contrastive Learning

Ruiting Zhao, Ming Li, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Pietro Lio

Writing lesson: When two losses are claimed to cooperate, show their computational paths, state the assumptions for theoretical compatibility, and compare single-loss versus joint behavior both quantitatively and visually.

Scientific selection: Included for writing analysis only. Official oral writing-corpus membership; scientific-library promotion and bilingual review are separate work.

137 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models

Shaoxiong Zhan, Yanlin Lai, Zheng Liu, Lin Hai, Shen Li, Xiaodong Cai, Zijian Lin, Wen Huang, Hai-Tao Zheng

Writing lesson: Use a diagnostic representation intervention to motivate training, then separate target-task fitting from transfer and expose teacher-trace construction.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

138 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning

Jiaqi Liu, Kaiwen Xiong, Peng Xia, Yiyang Zhou, Haonian Ji, Lu Feng, Siwei Han, Mingyu Ding, Huaxiu Yao

Writing lesson: Separate phase-specific supervision claims from whole-pipeline claims, and audit pseudocode, example triggers and appendix links against the same operational definition.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

139 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence

Yuanyuan Gao, Hao Li, Yifei Liu, Xinhao Ji, Yuning Gong, Yuanjun Liao, Fangfu Liu, Manyuan Zhang, Yuchen Yang, Dan Xu, Xue Yang, Huaxi Huang, Hongjie Zhang, Ziwei Liu, Xiao Sun, Dingwen Zhang, Zhihang Zhong

Writing lesson: For an automatically curated dataset, separate corpus-scale production, sampled quality assessment and downstream utility, and show the precision-recall cost of filtering.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

140 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

SpatioLM: Towards General Physical Spatial Intelligence in Vision-Language Models

Jing Wu, Jianhua Wu, Jiayi Guan, Jiahong Chen, Jinghui Lu, Hangjun Ye, Bingzhao Gao, Long Chen

Writing lesson: Pair a preservation claim with per-task losses and failure overlap, and make training-time external supervision distinct from inference-time inputs.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

141 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Expressivity-Efficiency Tradeoffs for Hybrid Sequence Models

John Cooper, Ilias Diakonikolas, Mingchen Ma, Frederic Sala

Writing lesson: Separate existence, implemented construction and learned performance into different evidence obligations; report when optimization breaks the trend expected from expressivity.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

142 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

How much can language models memorize?

John Xavier Morris, Chawin Sitawarin, Chuan Guo, Narine Kokhlikyan, G. Edward Suh, Alexander M Rush, Kamalika Chaudhuri, Saeed Mahloujifar

Writing lesson: Introduce a measurement through requirements, ideal definition and operational approximation, then perturb its reference choices before interpreting absolute values.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

143 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities

Hanlin Zhang, Jikai Jin, Vasilis Syrgkanis, Sham M. Kakade

Writing lesson: State the estimand before the fitted curve, challenge it across time and model families, and pair aggregate error with location-specific calibration.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

144 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Procedural Pretraining: Warming Up Language Models with Abstract Data

Liangze Jiang, Zachary Shinnick, Anton Van Den Hengel, Hemanth Saratchandran, Damien Teney

Writing lesson: Name separate data-budget contracts, use component transfer to localize a benefit, and test simpler explanations before assigning an abstract mechanism.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

145 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

τ^2-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Victor Barres, Honghua Dong, Soham Ray, Xujie Si, Karthik R Narasimhan

Writing lesson: Audit the benchmark's own implementation, task specification and simulator before attributing all observed failures to the evaluated agent.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

146 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Measuring Agents in Production

Melissa Pan, Negar Arabzadeh, Riccardo Cogo, Yuxuan Zhu, Alexander Xiong, Lakshya A Agrawal, Huanzhi Mao, Emma Shen, Sid Pallerla, Liana Patel, Shu Liu, Tianneng Shi, Xiaoyuan Liu, Jared Quincy Davis, Emmanuele Lacavalla, Alessandro Basile, Shuyi Yang, Paul Castro, Daniel Kang, Koushik Sen, Dawn Song, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia, Marquita Ellis

Writing lesson: In a mixed-methods paper, carry the evidence source, item-specific denominator and sampling limits into every compressed finding.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

147 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security Vulnerability

Xianzhen Luo, Jingyuan Zhang, Shiqi Zhou, Jinyang Huang, Chuan Xiao, Qingfu Zhu, Zhiyuan Ma, Yue Xing, Yang Yue, Wencong Zeng, Wanxiang Che

Writing lesson: Report generated, automatically accepted, manually verified and excluded counts separately; cross-check independent task components rather than trusting an end-to-end self-check.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

148 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration

Shijun Li, Hilaf Hasson, Joydeep Ghosh

Writing lesson: Explain a multi-dimensional search through a reusable single-dimension loop, and keep offline search cost, inference savings and generalization checks separate.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

149 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

DOUBT: Decoupled Object-level Understanding and Bridging via vMF-based Trustworthiness for Hallucination Detection in MLLMs

Kaiqi Chen, Yang Qin, Changhao He, Xi Peng, Peng Hu

Writing lesson: Define the target, flag polarity and denominator before presenting detection results, and report inference overhead separately from the absence of model retraining.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

150 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Learning to Theorize the World from Observation

Doojin Baek, Gyubin Lee, Junyeob Baek, Hosung Lee, Sungjin Ahn

Writing lesson: Pair an ambitious conceptual framing with precise operational tests, distinguish the general model from the implemented surrogate, and show both intermediate structure and transfer failures.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

151 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance

Etienne Casanova, Rafal Kocielnik, R. Michael Alvarez

Writing lesson: Carry the analysis unit and population tier alongside correlations, publish the exact policy interventions, and pair error rescue with corruption of previously correct decisions.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

152 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs

Wenbo Pan, Zhichao Liu, Xianlong Wang, Yu Haining, Xiaohua Jia

Writing lesson: Connect each efficiency mechanism to a distinct bottleneck, then report approximation loss, working-memory exclusions and actual hardware alongside the headline acceleration.

Scientific selection: Included for writing analysis only. Included in the official ICML oral writing corpus. Scientific catalog promotion and bilingual review are separate tasks.

153 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Faster Activation Functions at the Edge for Post-Training Speedups

Anton Lydike, Jun Bi, Jackson Woodruff

Writing lesson: Separate primitive speed, model-stage speed and task accuracy, and leave failed deployment ranges visible beside favorable drop-in results.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

154 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

FlashSinkhorn: IO-Aware Entropic Optimal Transport on GPU

Felix X.-F. Ye, Xingjie Li, An Yu, Ming-Ching Chang, Linsong Chu, Davis Wertheimer

Writing lesson: Carry exact algebra, memory complexity, finite precision and convergence budget through separate reporting layers instead of collapsing them into one speedup.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

155 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs

Rajat Vadiraj Dwaraknath, Sungyoon Kim, Mert Pilanci

Writing lesson: Tie an approximation knob to both its mathematical effect and its hardware cost, and label the precise timed subroutine beside downstream quality.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

156 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients

Anselm Paulus, Andreas René Geist, Vı́t Musil, Sebastian Hoffmann, Georg Martius

Writing lesson: Pair an easy API with an early counterexample, then document semantic changes and cost tradeoffs at the operator-family level.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

157 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: AI Should Facilitate Democratic Deliberation at Scale

José Ramón Enrı́quez, Jiaxin Pei, Alex Pentland

Writing lesson: Build a position paper around a falsifiable distinction in goals, give alternatives serious space, and make the requested actions specific to each responsible group.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

158 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Equilibrium Pricing in Oligopolistic Data Markets

Bhaskar Ray Chaudhury, Jugal Garg, Eklavya Sharma, Jiaxin Song

Writing lesson: State what changes in the strategy space and what stays restricted in the deviation benchmark whenever a negative result is followed by a relaxed guarantee.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

159 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation

Philip Jordan, Maryam Kamgarpour

Writing lesson: Give existence and algorithmic claims separate assumptions, then use conceptual geometry and feasibility traces to explain what each guarantee actually covers.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

160 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning

Omar Abbadi, Rida Laraki, Panayotis Mertikopoulos

Writing lesson: Organize a theoretical paper around directions of implication and boundary cases, and keep the precise conjecture resolved distinct from nearby claims left open.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

161 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Position: AI/ML Deepfake Research is Misaligned with AI Generated Non-Consensual Intimate Imagery (AIG-NCII)

Li Qiwei, Wells Lucas Santo, Sarita Schoenebeck, Eric Gilbert

Writing lesson: Anchor a position in an explicit harm distinction, disclose the selection funnel behind supporting counts, and turn ethical conditions into concrete research responsibilities.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

162 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures

Shixi Qin, Zhiyong Yang, Shilong Bao, Zitai Wang, Qianqian Xu, Qingming Huang

Writing lesson: Make attack access, optimization budget and failure modes part of the headline claim, not merely supporting implementation detail.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

163 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Orthogonal Concept Erasure for Diffusion Models

Yuhao Sun, Lingyun Yu, Hao-Xiang Xu, Fengyuan Miao, Zhuoer Xu, Hongtao Xie

Writing lesson: Use diagnostic interventions to motivate a constrained edit, then report removal and preservation on distinct axes and name every robustness extension.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

164 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection

Lei Wang, Wenxiang Diao, Andrew Busch, Jun Zhou, Yongsheng Gao

Writing lesson: Define the privacy quantity being measured and separate representation diagnostics, attacker probes and deployment data flow before making a broad protection claim.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

165 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

A Random Matrix Theory Perspective on the Consistency of Diffusion Models

Binxu Wang, Jacob A Zavatone-Veth, Cengiz Pehlevan

Writing lesson: Separate an exact tractable model, its asymptotic approximations and its qualitative transfer to a richer model, with matching visual and numerical checks for each layer.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

166 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Equivalence of Context and Parameter Updates in Modern Transformer Blocks

Adrian Goldwaser, Michael Munn, Javier Gonzalvo, Benoit Dherin

Writing lesson: State the unit of equivalence and comparison protocol precisely, and use an architectural counterexample to expose the assumptions behind a broad theorem.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

167 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Focus and Dilution: The Multi-stage Learning Process of Attention

Zheng-An Chen, Pengxiao Lin, Zhi-Qin John Xu, Tao Luo

Writing lesson: Give a dynamical theory a consistent stage vocabulary across statements and figures, while marking where a proved local transition becomes an empirical or speculative continuation.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.

168 · ICML 2026 oral · Writing-focused manuscript scan + selected visuals inspected

Which Algorithms Can Graph Neural Networks Learn?

Solveig Wittig, Antonis Vasileiou, Robert R Nerem, Timo Stoll, Floris Geerts, Yusu Wang, Christopher Morris

Writing lesson: Separate expressivity, conditional learnability, dataset construction and optimization success, and carry the same distinctions through the negative results and experimental questions.

Scientific selection: Included for writing analysis only. Included in the official ICML 2026 oral-program writing corpus. Scientific-library membership is managed separately; this writing scan makes no promotion decision.