Self-Assessment Reinforcement Learning for Search-State Awareness in Retrieval-Augmented Large Language Models
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 information has been obtained and what remains missing, leading to hallu...