{
  "id": "2403.09629",
  "title": "Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking",
  "authors": "Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman",
  "first_public": "2024-03-14",
  "venue": "COLM 2024",
  "arxiv": "2403.09629",
  "paper_url": "https://arxiv.org/abs/2403.09629",
  "lens": [
    "learned-tokens"
  ],
  "representation": [
    "text-latent-hybrid"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "self-training"
  ],
  "questions": [
    "capability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Trains on ordinary text by generating written rationales before predicting what comes next. Learns from how much those rationales improve subsequent token predictions.",
  "provenance": "Awesome-Latent-CoT",
  "author_names": [
    "Eric Zelikman",
    "Georges Harik",
    "Yijia Shao",
    "Varuna Jayasiri",
    "Nick Haber",
    "Noah D. Goodman"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2403.09629/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2403-09629",
  "citation_date": "2024-03-14",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2403.09629/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2403.09629/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2403.09629/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2403.09629/citation.csl.json"
}