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When History Fails to Become Experience: Action Calibration in Language Agents

arXiv:2610.02769v1 Announce Type: new Abstract: Language agents should draw on prior attempts and environmental feedback to improve subsequent decisions within the same task. However, providing additional interaction history can sometimes reduce task success, suggesting that agents do not consisten…

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  1. 2026-10-05 04:00 · arXiv cs.CL
    When History Fails to Become Experience: Action Calibration in Language Agents

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