{
  "id": "heddaya2026internalization",
  "title": "When Internalization Fails: Finding Better Targets for Reasoning Compression",
  "authors": "Mourad Heddaya, Manley Roberts, Rohan Wadhawan, Chenhao Tan",
  "first_public": "2026-01-29",
  "first_public_source": "https://github.com/heddayam/heddayam.github.io/commit/98c9f68fdc378e0abb7383dd5cd6ac6039b9338f",
  "first_public_note": "Author-hosted preprint upload date.",
  "citation_date": "2026-06-23",
  "added_at": "2026-11-09",
  "venue": "ACL 2026 Findings",
  "doi": "10.18653/v1/2026.findings-acl.734",
  "paper_url": "https://aclanthology.org/2026.findings-acl.734/",
  "lens": [
    "analysis",
    "internalized"
  ],
  "representation": [
    "hidden-state",
    "text-latent-hybrid"
  ],
  "computation": [
    "depth-wise",
    "token-wise"
  ],
  "training": [
    "curriculum",
    "supervised",
    "distillation"
  ],
  "questions": [
    "evaluation",
    "limitations",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Tests segment-removal curricula, a segment-based Coconut adaptation, and shorter teacher targets on competition math. Training on the teacher’s post-think explanation gives a better accuracy–token trade-off than the tested internalization curricula.",
  "provenance": "Primary-source literature review, 2026-11-09",
  "author_names": [
    "Mourad Heddaya",
    "Manley Roberts",
    "Rohan Wadhawan",
    "Chenhao Tan"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/heddaya2026internalization/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-heddaya2026internalization",
  "json_url": "https://latent-implicit-thinking.github.io/papers/heddaya2026internalization/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/heddaya2026internalization/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/heddaya2026internalization/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/heddaya2026internalization/citation.csl.json",
  "publication": {
    "title": "When Internalization Fails: Finding Better Targets for Reasoning Compression",
    "author_names": [
      "Mourad Heddaya",
      "Manley Roberts",
      "Rohan Wadhawan",
      "Chenhao Tan"
    ],
    "year": 2026,
    "type": "paper-conference",
    "container_title": "Findings of the Association for Computational Linguistics: ACL 2026",
    "publisher": "Association for Computational Linguistics",
    "doi": "10.18653/v1/2026.findings-acl.734",
    "pages": "14935-14946",
    "url": "https://aclanthology.org/2026.findings-acl.734/",
    "source_url": "https://aclanthology.org/2026.findings-acl.734.pdf",
    "verified_at": "2026-11-09"
  },
  "publication_bibtex_url": "https://latent-implicit-thinking.github.io/papers/heddaya2026internalization/publication.bib",
  "publication_csl_url": "https://latent-implicit-thinking.github.io/papers/heddaya2026internalization/publication.csl.json"
}