OThink-SRR1 is a reinforced learning framework that enhances LLM reasoning through search and refinement mechanisms. The approach combines search capabilities with reasoning refinement steps trained via reinforcement learning. This represents an incremental advance in LLM training methodology.
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OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models
OThink-SRR1 trains search-and-refinement loops via reinforcement learning to improve LLM reasoning, letting models iteratively refine their answers on complex tasks.
Thursday, April 23, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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