{
  "id": "2505.18454",
  "title": "Hybrid Latent Reasoning via Reinforcement Learning",
  "authors": "Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang",
  "first_public": "2025-05-24",
  "venue": "arXiv",
  "arxiv": "2505.18454",
  "paper_url": "https://arxiv.org/abs/2505.18454",
  "lens": [
    "continuous",
    "internalized"
  ],
  "representation": [
    "text-latent-hybrid",
    "continuous-state"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "reinforcement-learning"
  ],
  "questions": [
    "capability",
    "efficiency",
    "controllability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Uses reinforcement learning to choose and train a mixture of latent and written reasoning steps.",
  "provenance": "Primary-source literature search, 2026-09-04",
  "author_names": [
    "Zhenrui Yue",
    "Bowen Jin",
    "Huimin Zeng",
    "Honglei Zhuang",
    "Zhen Qin",
    "Jinsung Yoon",
    "Lanyu Shang",
    "Jiawei Han",
    "Dong Wang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2505.18454/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2505-18454",
  "citation_date": "2025-05-24",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2505.18454/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2505.18454/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2505.18454/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2505.18454/citation.csl.json"
}