Cites: Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
6 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
arxiv:2402.03300· evidence: id - Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
arxiv:2504.13837· evidence: id - Reinforcement Learning for Reasoning in Large Language Models with One Training Example
arxiv:2504.20571· evidence: id - The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
arxiv:2505.15134· evidence: id - Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
arxiv:2506.01939· evidence: id - Reasoning with Sampling: Your Base Model is Smarter Than You Think
arxiv:2510.14901· evidence: id