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Yao and colleagues: tau-bench tool-agent-user reliability evaluation

Contribution grade

AI evaluation and agent infrastructure · Evaluation resource design

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Evaluated policy-following API agents in conversations with simulated users, checking final database states and repeated-trial reliability.

Scientific scope

Evaluated policy-following API agents in conversations with simulated users, checking final database states and repeated-trial reliability. The user is model-simulated and domains are constrained. Repeated-trial pass^k differs from best-of-k pass@k; final-state checks do not prove every interaction is safe or appropriate.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The user is model-simulated and domains are constrained. Repeated-trial pass^k differs from best-of-k pass@k; final-state checks do not prove every interaction is safe or appropriate.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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