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Writing study: AgentAbstain: Do LLM Agents Know When Not to Act?

← NeurIPS 2026 oral writing corpus

Xun Liu, Yi E Zhang, Vira Kasprova, Parisa Rabbani, Pardissadat Zahraei, Tianyu Zhang, Ali Ebrahimpour-Boroojeny, Varun Chandrasekaran · Official NeurIPS 2026 oral record

Figure, table and section ledger

Editorial contribution type: Datasets, benchmarks & measurement (primary).

Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.

Canonical PDF
56 physical pages
Before references / appendix
≈ 9.23 page-equivalents
Main figures / tables
7 / 1
Attached appendix figures / tables
6 / 15
Attached appendix span
≈ 37.91 page-equivalents
Before references / appendix: ≈ 16.48%References / intervening material: ≈ 15.82%Attached appendix: ≈ 67.7%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.

Source-bound correction: Top-level heading and reference/appendix boundaries checked against source PDF text. Bibliography titles/author initials, numbered contribution/property bullets, diagram steps, equations and TOC entries are not substantive headings. Section spans are page-coordinate estimates, not ink area or prose-only length. This is an author manuscript mirror, not a verified accepted-version template. Source layout uses physical single-column y/page-height, including equation-heavy pages. Appendix span includes its explicit cover/contents/list-of-figures frontmatter; actual lettered subsection boundaries use their substantive starts, not TOC links.

Section-by-section lengths and source pages

The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.

Top-level headingStarts on PDF pageEstimated spanShare of entire PDF
1 Introduction1≈ 1.44 pp.2.57%
2 An Evaluation Framework for Agent Abstention3≈ 2.25 pp.4.02%
3 Do LLM Agents Know When Not to Act?5≈ 3.78 pp.6.75%
4 Related Work9≈ 0.62 pp.1.11%
5 Conclusion9≈ 0.39 pp.0.7%
References10≈ 8.87 pp.15.84%
Appendix19≈ 2 pp.3.57%
A Limitations, Future Work, and Broader Impact21≈ 1.08 pp.1.93%
B Formal Framework22≈ 5.51 pp.9.84%
C ABSTAINGEN Pipeline Details27≈ 4.16 pp.7.43%
D AGENTABSTAIN Benchmark Details31≈ 5.64 pp.10.07%
E Experiment Details37≈ 5.66 pp.10.11%
F Full Results and Analysis43≈ 2.71 pp.4.84%
G Agent Behavior Case Studies45≈ 7.95 pp.14.2%
H Extended Related Work53≈ 3.19 pp.5.7%
All detected figure and table locations

Argument and organization

  1. Problem and contribution

    Introduces acting and abstaining as a paired evaluation problem, with a controlled change between tasks where action is appropriate and inappropriate; task success alone cannot identify calibrated restraint.

  2. Argument sequence

    Taxonomy, paired task model and construction precede the benchmark results; numbered findings then separate aggregate accuracy, act/abstain gaps, category effects and failure behavior.

  3. Evidence and verification

    The main table groups pre-execution versus runtime categories and states macro-averaging. Behavioral checks distinguish an agent's verbal refusal from whether it already performed the consequential action.

Problem, claim and contribution

Introduces acting and abstaining as a paired evaluation problem, with a controlled change between tasks where action is appropriate and inappropriate; task success alone cannot identify calibrated restraint.

Introduction and Section 2, pp. 1–4 · Main paper

Argument and section order

Taxonomy, paired task model and construction precede the benchmark results; numbered findings then separate aggregate accuracy, act/abstain gaps, category effects and failure behavior.

Sections 2–3, physical pp. 3–8 · Main paper

Figures, captions and visual explanation

Figure 3 orders grouped bars by paired accuracy while displaying act, abstain and conditional-abstention metrics separately. The adjacent Figure 4 scatter exposes different act/abstain profiles behind similar paired scores. Figure 2 uses eight concise scenario cards whose two colors distinguish pre-execution from runtime triggers, with one concrete example per card. The nearby paired-design text explains how a minimally altered task becomes a should-abstain case and distinguishes action, abstention and conditional metrics rather than calling all of them refusal rate.

Figures 3–4 and Table 1, physical p. 6 (render inspected); Figure 2 and paired-design description, physical PDF p. 4 (additional rendered inspection) · Main paper

Tables, comparisons and evidence

The main table groups pre-execution versus runtime categories and states macro-averaging. Behavioral checks distinguish an agent's verbal refusal from whether it already performed the consequential action.

Table 1, p. 6; Figure 7 and Section 3, p. 8; Appendix B.6, p. 24 · Main paper

Appendix and reproducibility

Formal metric definitions, exact evaluation prompts, human judge validation and case-level analyses make the benchmark interpretable; cross-cutting case-study hypotheses are explicitly not presented as established general conclusions.

Appendices B.6, E.2–E.3 and G.6, physical pp. 24, 38–42 and 52 · Main paper

Clarity and writing conventions

Named findings offer a readable path through a large results section, while the formal appendix clarifies that the pass criteria are not a complete assessment of task helpfulness or semantic correctness.

Section 3, pp. 5–8; Appendix B.6, p. 24 · Main paper

What to reuse—and what not to infer

Transferable lesson: A new behavioral benchmark should include contrastive task pairs, explicit metric denominators and observable-action checks, not only language-model judge opinions.

Boundary: The evaluated harnesses and generated sandbox tasks limit generalization. Dense metric tables need readable type; extraction corruption is not evidence of visible PDF corruption.

Apply this lesson using the argument and evidence worksheet.

Inspection record and sources

Checked
2026-10-02
Reading status
Writing-focused manuscript scan + selected visuals inspected
Main text
Writing-oriented scan across manuscript framing, section sequence, figure/table captions, selected argument/evaluation prose and conclusion; not exhaustive technical or proof verification. Physical PDF pp. 1–9, Sections 1–5; reference material pp. 9–20. Figure-font encodings create extra form-feed characters, so text-split page numbering was not used. Source is the exact public author version listed below, not a verified accepted/camera-ready revision.
Appendix / supplement
Writing-oriented appendix/documentation scan: Physical pp. 21–56, Appendices A–H: limitations, formal metrics/taxonomy, generation, data, evaluation/judge validation, full results, behavior cases and extended related work. Source code, data, model outputs and external video assets were not executed or independently validated.
Visually inspected PDF pages
4, 6

This is a writing-focused scan of the manuscript and the stated supplementary scope: framing, organization, visual explanation, evidence presentation and wording. It is not a line-by-line proof audit, reproduction of results or exhaustive scientific review.