Cites: Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

12 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.

• Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
  acl:2022.emnlp-main.340 · evidence: title
• Scaling Laws for Neural Language Models
  arxiv:2001.08361 · evidence: id
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
  arxiv:2203.11171 · evidence: title
• Scaling Laws for Reward Model Overoptimization
  arxiv:2210.10760 · evidence: title
• Emergent Analogical Reasoning in Large Language Models
  arxiv:2212.09196 · evidence: title
• Self-Refine: Iterative Refinement with Self-Feedback
  arxiv:2303.17651 · evidence: title
• Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
  arxiv:2309.14316 · evidence: title
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  arxiv:2402.03300 · evidence: title
• How Do Large Language Models Acquire Factual Knowledge During Pretraining?
  arxiv:2406.11813 · evidence: title
• The Llama 3 Herd of Models
  arxiv:2407.21783 · evidence: title
• MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
  url:minedojo.org · evidence: title
• Reinforcement Learning from Human Feedback
  url:rlhfbook.com · evidence: title