Cites: The Art of Scaling Reinforcement Learning Compute for LLMs

7 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.

• Scaling Laws for Neural Language Models
  arxiv:2001.08361 · evidence: id
• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
  arxiv:2206.04615 · evidence: id
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  arxiv:2402.03300 · evidence: id
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
  arxiv:2503.14476 · evidence: id
• Understanding R1-Zero-Like Training: A Critical Perspective
  arxiv:2503.20783 · evidence: id
• MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
  arxiv:2506.13585 · evidence: id
• Group Sequence Policy Optimization
  arxiv:2507.18071 · evidence: id