The Analysis in dialogue right here introduces SEARCH-R1, a reinforcement studying (RL)-based framework that permits giant language fashions (LLMs) to combine multi-turn, interleaved search-and-reasoning capabilities. Not like earlier retrieval-augmented technology (RAG) or tool-use-based approaches, SEARCH-R1 trains LLMs to autonomously generate queries and optimize reasoning with search engine outcomes utilizing RL.
The important thing innovation is that the mannequin learns totally via reinforcement studying (with out human-labeled trajectories) optimally carry out search queries and motive via retrieved data, considerably enhancing efficiency on question-answering duties.
