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Ao-Ying Zheng

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#machine learning Preprint Sep 2026

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

This work introduces EAVer, an End-to-end Agentic Verifier that learns to control the complete response-level verification workflow as a unified policy, and construct 794 bidirectional same-trajectory preference pairs that keep claim grouping, search, and evidence fixed, enabling decision-focused Direct Preference Opti...

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

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