Cites: Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

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
• The Llama 3 Herd of Models
  arxiv:2407.21783 · evidence: id
• rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  arxiv:2501.04519 · evidence: id
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
  arxiv:2503.14476 · 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