{
  "id": "2610.32096",
  "title": "DELA: Learning Controllable Edits for Diffusion Language Models",
  "authors": "Xinsong Feng, Chenan Wang, Leshu Tang, Johnny Liu, Dong Li, Da Li, Haipeng Chen",
  "first_public": "2026-10-23",
  "added_at": "2026-10-26",
  "venue": "arXiv",
  "arxiv": "2610.32096",
  "paper_url": "https://arxiv.org/abs/2610.32096",
  "html_url": "https://arxiv.org/html/2610.32096v1",
  "lens": [
    "beyond-sequential"
  ],
  "representation": [
    "discrete-token"
  ],
  "computation": [
    "diffusion"
  ],
  "training": [
    "supervised",
    "distillation",
    "curriculum"
  ],
  "questions": [
    "capability",
    "controllability",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Trains a small controller to insert, delete or remask parts of a text draft, while a frozen diffusion language model fills the gaps. Tests whether these targeted edits improve mathematical answers and code; intermediate reasoning remains explicit text.",
  "provenance": "Primary-source literature review, 2026-10-26",
  "author_names": [
    "Xinsong Feng",
    "Chenan Wang",
    "Leshu Tang",
    "Johnny Liu",
    "Dong Li",
    "Da Li",
    "Haipeng Chen"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.32096/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-32096",
  "citation_date": "2026-10-23",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.32096/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.32096/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.32096/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.32096/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.32096"
}