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Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Claw-Eval introduces a trajectory-aware benchmark with 300 tasks, finding opaque grading misses 44% of safety violations and agent rankings vary across multi-dimensional capabilities.

Bowen Ye, Rang Li, Qibin Yang, Yuanxin Liu and 9 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 117 on Hugging Face · Code ★ 778

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5