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Self-Assessment Reinforcement Learning for Search-State Awareness in Retrieval-Augmented Large Language Models

arXiv:2610.30435v1 Announce Type: new Abstract: Recent advances in search agents have enabled large language models to tackle complex tasks by retrieving and synthesizing external information. However, existing search agents often lack search-state awareness, i.e., the ability to recognize what inf…

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  1. 2026-10-24 04:00 · arXiv cs.CL
    Self-Assessment Reinforcement Learning for Search-State Awareness in Retrieval-Augmented Large Language Models

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