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Liu and colleagues: AgentBench interactive agent evaluation

Contribution grade

AI evaluation and agent infrastructure · Evaluation resource design

Reference score75,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Combined multiple interactive environments to evaluate language-model reasoning, decision-making and instruction following as agents.

Scientific scope

Combined multiple interactive environments to evaluate language-model reasoning, decision-making and instruction following as agents. One evaluation framework, not separate achievements per environment. Pinned 2025 revision contains newer results; those results are not backdated to the 2023 benchmark introduction.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. One evaluation framework, not separate achievements per environment. Pinned 2025 revision contains newer results; those results are not backdated to the 2023 benchmark introduction.

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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