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Beyond Corrected Actions: Training LLM Agents on Textual Critiques

Large language models (LLMs) are increasingly used for multi-turn agentic tasks that require interactions with users and environments over extended sequences of actions.

By Thomas Zeng, Zelei Cheng, Mingyang Zhou, Sambit Sahu, William Campbell, Genta Indra WinataarXiv - cs.CL (NLP)

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Originally published by arXiv - cs.CL (NLP) on Oct 15, 2026.

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