{
  "id": "2510.04573",
  "title": "LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning",
  "authors": "Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Nicklas Majamaki, Navdeep Jaitly, Yi-An Ma, Lianhui Qin",
  "first_public": "2025-10-06",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2510.04573",
  "paper_url": "https://arxiv.org/abs/2510.04573",
  "lens": [
    "continuous",
    "beyond-sequential"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "diffusion"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "architecture",
    "capability",
    "scaling"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Uses a variational autoencoder to compress textual reasoning steps into blocks of continuous states. A diffusion model repeatedly revises each block before generating the next, then produces a textual answer; diversity guidance encourages alternative reasoning trajectories.",
  "provenance": "Awesome-Latent-CoT; primary sources checked 2026-10-18",
  "author_names": [
    "Haoqiang Kang",
    "Yizhe Zhang",
    "Nikki Lijing Kuang",
    "Nicklas Majamaki",
    "Navdeep Jaitly",
    "Yi-An Ma",
    "Lianhui Qin"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2510.04573/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2510-04573",
  "citation_date": "2025-10-06",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2510.04573/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2510.04573/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2510.04573/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2510.04573/citation.csl.json"
}