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

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← ICML 2026 oral writing corpus

Victor Barres, Honghua Dong, Soham Ray, Xujie Si, Karthik R Narasimhan · Official ICML 2026 oral record

Observed writing choices, not acceptance rules. This study examines the inspected manuscript version. It does not establish why the paper was accepted or that its presentation choices should be copied unchanged.

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

47 physical pages

Before references / appendix

≈ 9.18 page-equivalents

Main figures / tables

6 / 3

Attached appendix figures / tables

5 / 2

Attached appendix span

≈ 35.84 page-equivalents

Before references / appendix: ≈ 19.53%References / intervening material: ≈ 4.21%Attached appendix: ≈ 76.26%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.

Source-bound correction: Source-checked physical-page text restores wrapped top-level heading labels on pp. 3. Heading starts and measured positions are unchanged; this is label completeness, not a new section. Newly detected unnumbered impact/singular-acknowledgment statements are retained from the size-aware source extraction; authored heading corrections are unchanged.

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	≈ 1.42 pp.	3.02%
2. Related Work	3	≈ 0.75 pp.	1.6%
3. τ²-bench: Evaluating Agents in a Dual-Control Environment	3	≈ 2.06 pp.	4.38%
4. Experiments	5	≈ 3.51 pp.	7.47%
5. Conclusion	9	≈ 0.3 pp.	0.64%
Acknowledgements	9	≈ 0.37 pp.	0.79%
Impact Statement	10	≈ 0.14 pp.	0.3%
References	10	≈ 1.91 pp.	4.06%
Reproducibility Statement	12	≈ 0.08 pp.	0.17%
Appendix	12	≈ 0.03 pp.	0.06%
A. Full Dec-POMDP Formalism	12	≈ 0.52 pp.	1.11%
B. Telecom Domain	12	≈ 8.59 pp.	18.28%
C. Verifying Original τ -bench	21	≈ 0.44 pp.	0.94%
D. Prompts	21	≈ 2.34 pp.	4.98%
E. Domain Policies	24	≈ 22 pp.	46.81%
F. User Simulator Quality	46	≈ 1.23 pp.	2.62%
G. Use of Large Language Models	47	≈ 0.68 pp.	1.45%

All detected figure and table locations

Main text

• Figure 1 · p. 2
• Figure 2 · p. 4
• Table 1 · p. 5
• Table 2 · p. 6
• Figure 3 · p. 7
• Figure 4 · p. 7
• Figure 5 · p. 8
• Figure 6 · p. 8
• Table 3 · p. 9

Attached appendix

• Table 4 · p. 13
• Table 5 · p. 13
• Figure 7 · p. 14
• Figure 8 · p. 15
• Figure 9 · p. 43
• Figure 10 · p. 44
• Figure 11 · p. 45

Argument and organization

1. Problem and contribution

   Identifies user-side actions as a missing evaluation dimension and keeps agent and user roles asymmetric: the agent diagnoses while the simulated user follows instructions through restricted affordances.

2. Argument sequence

   A formal environment leads to atomic initialization/solution/assertion functions and then evaluation; agent capability experiments precede an audit of implementation, task and user-simulator errors.

3. Evidence and verification

   Default, No-User and Oracle-Plan modes probe different information/control burdens; user quality is separately checked by two annotators per conversation with task-critical versus benign errors and explicit per-domain sample sizes.

Problem, claim and contribution

Identifies user-side actions as a missing evaluation dimension and keeps agent and user roles asymmetric: the agent diagnoses while the simulated user follows instructions through restricted affordances.

Figure 1 and contribution list, p. 2; related work, p. 3 · Main paper

Argument and section order

A formal environment leads to atomic initialization/solution/assertion functions and then evaluation; agent capability experiments precede an audit of implementation, task and user-simulator errors.

Sections 3-4.3, pp. 3-9 · Main paper

Figures, captions and visual explanation

The statistics table separates full generated tasks from the evaluated telecom subset; complexity curves overlay task proportions and keep transfer-to-human tasks distinct from ordinary action counts.

Table 1, p. 5; Figures 5-6, p. 8; both PNGs inspected · Main paper

Tables, comparisons and evidence

Default, No-User and Oracle-Plan modes probe different information/control burdens; user quality is separately checked by two annotators per conversation with task-critical versus benign errors and explicit per-domain sample sizes.

Sections 4.2-4.3, pp. 6-9; Table 3, p. 9 · Main paper

Appendix and reproducibility

The supplement exposes policies and full trajectories, corrections to original benchmark tasks, and concrete simulator failures, including premature transfer that can block an otherwise feasible agent action.

Appendices B-C, pp. 14-21; E-F, pp. 24-47 · Main paper

Clarity and writing conventions

Conclusion explicitly leaves expert-novice mental-model adaptation and generalization of simulator improvements to other domains unresolved, despite stronger domain-constrained reliability.

Conclusion, p. 9 · Main paper

What to reuse—and what not to infer

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

Boundary: No-User grants different tools and direct task information, not merely removal of conversational text; success in a scripted telecom world and programmatically verified tasks does not establish real-user support quality.

Apply this lesson using the argument and evidence worksheet.

Inspection record and sources

Checked

2026-10-07

Reading status

Writing-focused manuscript scan + selected visuals inspected

Main text

Writing-focused distributed manuscript scan, not exhaustive technical/proof validation. Sections 1-5, pp. 1-9: dual-control motivation, formal environment and task construction, scoring, access-mode ablations, difficulty breakdowns and simulator reliability.

Appendix / supplement

Writing-focused appendix scan; code, data and external assets not executed. Appendices A-G, pp. 12-47: full formalism, personas and task factorization, example traces, original-task repairs, prompts, domain policies/workflows and simulator error cases.

Visually inspected PDF pages

5, 8

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.

• Published ICML 2026 proceedings PDF, PMLR volume 306; retrieved 2026-10-07. Public OpenReview decision notes were not independently reverified. · 47 pages