{
  "id": "2505.17923",
  "title": "Language Models Can Learn Implicit Multi-Hop Reasoning, but Only If They Have Lots of Training Data",
  "authors": "Yuekun Yao, Yupei Du, Dawei Zhu, Michael Hahn, Alexander Koller",
  "first_public": "2025-05-23",
  "venue": "arXiv",
  "arxiv": "2505.17923",
  "paper_url": "https://arxiv.org/abs/2505.17923",
  "lens": [
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "depth-wise"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "capability",
    "scaling",
    "limitations"
  ],
  "evidence": [
    "empirical",
    "scaling",
    "boundary"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Studies the data requirements for learning implicit multi-hop reasoning and identifies sharp limitations in low-data regimes.",
  "provenance": "Primary-source literature search, 2026-09-04",
  "author_names": [
    "Yuekun Yao",
    "Yupei Du",
    "Dawei Zhu",
    "Michael Hahn",
    "Alexander Koller"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2505.17923/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2505-17923",
  "citation_date": "2025-05-23",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2505.17923/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2505.17923/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2505.17923/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2505.17923/citation.csl.json"
}