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arXiv — cs.AI

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标题为英语When Harnesses Lose the Signal: Causal Evaluation of Recovery in LLM Agents

Large language model agents rely on external harnesses to pass information between the model and its environment and to recover from execution errors. Yet recovery is usually judged only by average task success. This hides an important tension. The same operation can rescue a…

arXiv — cs.AI作者: Shuyao Xiao, Shengling Wang, Xuan Chen, Ke Chao, Ming Cui, Feifei Qian, Chaoyang Mei, Fanlin Meng, Ziming Yu, Junxi Yin2026年10月2日 (10月2日)
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  • Large language model agents rely on external harnesses to pass information between the model and its environment and to recover from execution errors
  • Yet recovery is usually judged only by average task success
  • This hides an important tension
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When Harnesses Lose the Signal: Causal Evaluation of Recovery in LLM Agents

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