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paperarXivTrust 82 · PrimaryPublished 2d agoLive · 1h ago

Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

Factual question answering (QA) typically assumes a single canonical answer, obscuring whether large language models (LLMs) retain divergent accounts of long-tail facts. To address this gap, we introduce ElephantBench, a closed-book knowledge probe comprising 1,094 questions generated through an auditable graph-based pipeline. The pipeline retrieves related documents from a low-exposure web corpus, identifies naturally occurring disagreements, and converts them into multi-account QA records. Each answer is verified against the originating documents and authoritative public web sources and is t

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  • PossiblePossibly related (embedding) · 26%Tencent/WeKnora

    Possibly related via embedding similarity 0.57 (not asserted). Timestamp check: artifact slightly before paper (-57d).

  • FuzzyOverlapping authors or contributors · 62%google-research/google-research

    Shared author/contributor keys: sun

  • FuzzyOverlapping authors or contributors · 62%rasbt/LLMs-from-scratch

    Shared author/contributor keys: yin

  • LinkedLinked via arxiv author · 85%Zhuoshi Pan

    Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

  • LinkedLinked via arxiv author · 85%Junru Lu

    Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

  • LinkedLinked via arxiv author · 85%Yan Qian

    Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

  • LinkedLinked via arxiv author · 85%H. Vicky Zhao

    Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

  • LinkedLinked via arxiv author · 85%Di Yin

    Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledge

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