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
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 heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1 Introduction | 1 | ≈ 1.44 pp. | 2.57% |
| 2 An Evaluation Framework for Agent Abstention | 3 | ≈ 2.25 pp. | 4.02% |
| 3 Do LLM Agents Know When Not to Act? | 5 | ≈ 3.78 pp. | 6.75% |
| 4 Related Work | 9 | ≈ 0.62 pp. | 1.11% |
| 5 Conclusion | 9 | ≈ 0.39 pp. | 0.7% |
| References | 10 | ≈ 8.87 pp. | 15.84% |
| Appendix | 19 | ≈ 2 pp. | 3.57% |
| A Limitations, Future Work, and Broader Impact | 21 | ≈ 1.08 pp. | 1.93% |
| B Formal Framework | 22 | ≈ 5.51 pp. | 9.84% |
| C ABSTAINGEN Pipeline Details | 27 | ≈ 4.16 pp. | 7.43% |
| D AGENTABSTAIN Benchmark Details | 31 | ≈ 5.64 pp. | 10.07% |
| E Experiment Details | 37 | ≈ 5.66 pp. | 10.11% |
| F Full Results and Analysis | 43 | ≈ 2.71 pp. | 4.84% |
| G Agent Behavior Case Studies | 45 | ≈ 7.95 pp. | 14.2% |
| H Extended Related Work | 53 | ≈ 3.19 pp. | 5.7% |
All detected figure and table locations
Main text
Attached appendix
- Table 2 · p. 28
- Table 3 · p. 31
- Table 4 · p. 32
- Table 5 · p. 32
- Figure 8 · p. 34
- Figure 9 · p. 35
- Figure 10 · p. 36
- Table 6 · p. 38
- Table 7 · p. 43
- Figure 11 · p. 43
- Table 8 · p. 44
- Table 9 · p. 44
- Table 10 · p. 45
- Table 11 · p. 45
- Table 12 · p. 45
- Table 13 · p. 46
- Figure 12 · p. 46
- Figure 13 · p. 47
- Table 14 · p. 50
- Table 15 · p. 53
- Table 16 · p. 54
Argument and organization
- 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.
- 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.
- 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.