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Cheng-Ze Li

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#machine learning Preprint Sep 2026

EAVer: Long-Form Factuality Verification as an End-to-End Agentic Policy

Long-form factuality verification is commonly implemented as a static decompose-search-verify pipeline, with separately prompted modules processing claims and invoking external search. Treating claims independently makes LLM and search calls scale with claim count and causes repeated searches for overlapping evidence a...

Ke-Ning Zheng, Ao-Ying Zheng, Zhi-Gang Chang et al. · 0 citations
Preprint Aug 2026

Sycophancy Suppression Can Impair Rational Updating: Anti-Sycophancy Should Preserve the Ability to Update

Large language models often exhibit sycophancy, revising their answers to align with users when users push back. Such answer flips, however, can arise from different causes. One possibility is that the model simply aligns with the user's feedback in order to satisfy them. Another is that the feedback genuinely contains...

Huanhuan Ma, Henry Peng Zou, Cheng-Ze Li et al. · 0 citations

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