OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models
arXiv:2604.19766v1 Announce Type: new
Abstract: Retrieval-Augmented Generation (RAG) expands the knowledge of Large Language Models (LLMs), yet current static retrieval methods struggle with complex, multi-hop problems. While recent dynamic retrieval …