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Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?

The authors introduce Who and When Pro, a large-scale benchmark designed to evaluate how effectively large language models can attribute failures in agentic workflows.

Impact
48/100
Current rank score
6.47
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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