Search-R1
A highly efficient reinforcement learning framework for training language models that perform reasoning and call search engines.
CommonProductProductivityReinforcement LearningNatural Language Processing
Search-R1 is a reinforcement learning framework designed to train large language models (LLMs) capable of reasoning and calling search engines. Built upon veRL, it supports various reinforcement learning methods and different LLM architectures, enabling efficiency and scalability in tool-augmented reasoning research and development.
Search-R1 Visit Over Time
Monthly Visits
493360068
Bounce Rate
36.08%
Page per Visit
6.1
Visit Duration
00:06:29
