{
  "title": "Adaptive Latent Block Insertion via Online Reward Optimization",
  "first_public": "2026-10-24",
  "first_public_source": "https://github.com/acl-org/acl-anthology/commit/635539a0ab6bdce67dae20affa31725587cf3c0c",
  "first_public_note": "ACL Anthology release date.",
  "paper_url": "https://aclanthology.org/2026.emnlp-main.1833/",
  "id": "cho2026midthink",
  "authors": "Yewon Cho, Hyeongsoon Hwang, Yein Park, Hyeon Hwang, Jaewoo Kang",
  "added_at": "2026-11-09",
  "venue": "EMNLP 2026",
  "doi": "10.18653/2026.emnlp-main.1833",
  "provenance": "Primary-source literature review, 2026-11-09",
  "lens": [
    "continuous"
  ],
  "representation": [
    "text-latent-hybrid"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "test-time-optimization",
    "inference-only"
  ],
  "questions": [
    "capability",
    "controllability",
    "interpretability"
  ],
  "evidence": [
    "empirical",
    "mechanistic"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Keeps model weights fixed and optimizes continuous input blocks before and during explicit reasoning. A sustained-uncertainty signal triggers a new block, which is updated using confidence scores from short trial continuations.",
  "author_names": [
    "Yewon Cho",
    "Hyeongsoon Hwang",
    "Yein Park",
    "Hyeon Hwang",
    "Jaewoo Kang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/cho2026midthink/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-cho2026midthink",
  "citation_date": "2026-10-24",
  "json_url": "https://latent-implicit-thinking.github.io/papers/cho2026midthink/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/cho2026midthink/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/cho2026midthink/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/cho2026midthink/citation.csl.json",
  "publication": {
    "title": "Adaptive Latent Block Insertion via Online Reward Optimization",
    "author_names": [
      "Yewon Cho",
      "Hyeongsoon Hwang",
      "Yein Park",
      "Hyeon Hwang",
      "Jaewoo Kang"
    ],
    "year": 2026,
    "type": "paper-conference",
    "container_title": "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    "pages": "41715-41736",
    "publisher": "Association for Computational Linguistics",
    "url": "https://aclanthology.org/2026.emnlp-main.1833/",
    "source_url": "https://aclanthology.org/2026.emnlp-main.1833/",
    "verified_at": "2026-11-09",
    "doi": "10.18653/2026.emnlp-main.1833"
  },
  "publication_bibtex_url": "https://latent-implicit-thinking.github.io/papers/cho2026midthink/publication.bib",
  "publication_csl_url": "https://latent-implicit-thinking.github.io/papers/cho2026midthink/publication.csl.json"
}