{
  "id": "2502.13842",
  "title": "Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking",
  "authors": "Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang",
  "first_public": "2025-02-19",
  "venue": "arXiv",
  "arxiv": "2502.13842",
  "paper_url": "https://arxiv.org/abs/2502.13842",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "capability",
    "efficiency",
    "controllability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Routes selected tokens through extra computation while reusing model parameters. Marks successive thinking steps so the model can distinguish one pass from the next.",
  "provenance": "Primary-source literature search, 2026-09-04",
  "author_names": [
    "Yilong Chen",
    "Junyuan Shang",
    "Zhenyu Zhang",
    "Yanxi Xie",
    "Jiawei Sheng",
    "Tingwen Liu",
    "Shuohuan Wang",
    "Yu Sun",
    "Hua Wu",
    "Haifeng Wang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2502.13842/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2502-13842",
  "citation_date": "2025-02-19",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2502.13842/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2502.13842/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2502.13842/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2502.13842/citation.csl.json"
}