Cited by: Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

13 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.

• Physics of Language Models: Part 1, Learning Hierarchical Language Structures
  arxiv:2305.13673 · evidence: title
• Physics of Language Models: Part 3.2, Knowledge Manipulation
  arxiv:2309.14402 · evidence: id
• Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
  arxiv:2404.05405 · evidence: id
• Pre-trained Large Language Models Use Fourier Features to Compute Addition
  arxiv:2406.03445 · evidence: id
• How Do Large Language Models Acquire Factual Knowledge During Pretraining?
  arxiv:2406.11813 · evidence: title
• Knowledge Mechanisms in Large Language Models: A Survey and Perspective
  arxiv:2407.15017 · evidence: title
• Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
  arxiv:2407.20311 · evidence: id
• Emergent properties with repeated examples
  arxiv:2410.07041 · evidence: title
• Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
  arxiv:2412.14135 · evidence: title
• Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
  arxiv:2502.05171 · evidence: title
• How do language models learn facts? Dynamics, curricula and hallucinations
  arxiv:2503.21676 · evidence: id
• Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls
  arxiv:2510.00184 · evidence: id
• Self-Improving Pretraining: using post-trained models to pretrain better models
  arxiv:2601.21343 · evidence: id