{
  "id": "2610.28607",
  "title": "Benchmarking Arabic Dialects for Math Problems",
  "authors": "Noor Abo Mokh, Teresa Lynn, Nizar Habash, Ahmed Elshabrawy, Sara Alhajeri, Alaa Elsetohy, Preslav Nakov, Alham Fikri Aji",
  "first_public": "2026-10-20",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2610.28607",
  "paper_url": "https://arxiv.org/abs/2610.28607",
  "lens": [
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "depth-wise"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "generalization",
    "evaluation",
    "interpretability"
  ],
  "evidence": [
    "empirical",
    "mechanistic"
  ],
  "modality": [
    "language"
  ],
  "summary": "Introduces parallel translated and culturally localized math problems for Modern Standard Arabic and five dialects. Uses residual-state comparisons and activation patching to study how localization changes internal processing and answer accuracy.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Noor Abo Mokh",
    "Teresa Lynn",
    "Nizar Habash",
    "Ahmed Elshabrawy",
    "Sara Alhajeri",
    "Alaa Elsetohy",
    "Preslav Nakov",
    "Alham Fikri Aji"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.28607/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-28607",
  "citation_date": "2026-10-20",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.28607/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.28607/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.28607/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.28607/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.28607"
}