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

arXiv:2610.30435v1 Announce Type: cross 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