{
  "id": "2610.41574",
  "title": "BYOD: Build Your Own DLM - Efficient Autoregressive-to-Diffusion Language Model Conversion",
  "authors": "Ruurd J. A. Kuiper, Robert A. Bagheri",
  "first_public": "2026-10-30",
  "added_at": "2026-11-02",
  "venue": "arXiv",
  "arxiv": "2610.41574",
  "paper_url": "https://arxiv.org/abs/2610.41574",
  "html_url": "https://arxiv.org/html/2610.41574v1",
  "lens": [
    "beyond-sequential"
  ],
  "representation": [
    "discrete-token"
  ],
  "computation": [
    "diffusion",
    "parallel"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "architecture",
    "efficiency",
    "capability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Converts autoregressive instruction models into diffusion language models by enabling bidirectional attention and training query/value adapters on masked responses. Keeps the backbone and output head fixed, then fills several answer positions per decoding step.",
  "provenance": "Primary-source literature review, 2026-11-02",
  "author_names": [
    "Ruurd J. A. Kuiper",
    "Robert A. Bagheri"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.41574/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-41574",
  "citation_date": "2026-10-30",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.41574/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.41574/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.41574/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.41574/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.41574"
}