{
  "id": "2410.09918",
  "title": "Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces",
  "authors": "DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng",
  "first_public": "2024-10-13",
  "venue": "arXiv",
  "arxiv": "2410.09918",
  "paper_url": "https://arxiv.org/abs/2410.09918",
  "lens": [
    "internalized"
  ],
  "representation": [
    "text-latent-hybrid"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "capability",
    "efficiency",
    "controllability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Randomizes which reasoning steps remain visible during training so one model can interpolate between direct and explicit reasoning.",
  "provenance": "Primary-source literature search, 2026-09-04",
  "author_names": [
    "DiJia Su",
    "Sainbayar Sukhbaatar",
    "Michael Rabbat",
    "Yuandong Tian",
    "Qinqing Zheng"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2410.09918/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2410-09918",
  "citation_date": "2024-10-13",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2410.09918/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2410.09918/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2410.09918/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2410.09918/citation.csl.json"
}