{
  "id": "2609.35748",
  "title": "Improving Test-Time Scaling with Adaptive Looped Transformers",
  "authors": "Yichen You, Tianyu Fu, Aosong Feng, Xingtai Lv, Xuefei Ning, Ning Ding, Yu Wang",
  "first_public": "2026-09-28",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2609.35748",
  "paper_url": "https://arxiv.org/abs/2609.35748",
  "summary": "Trains an iteration controller to give extra transformer loops only to tokens whose predictions benefit from them. Compares reasoning accuracy as both output length and internal computation increase.",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise",
    "token-wise"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "controllability",
    "efficiency",
    "scaling",
    "capability"
  ],
  "evidence": [
    "empirical",
    "scaling"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Yichen You",
    "Tianyu Fu",
    "Aosong Feng",
    "Xingtai Lv",
    "Xuefei Ning",
    "Ning Ding",
    "Yu Wang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.35748/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-35748",
  "citation_date": "2026-09-28",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.35748/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.35748/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.35748/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.35748/citation.csl.json"
}