Papers by Liangjie Zhang

1 papers
RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection (2026.acl-long)

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Challenge: Recent work addresses this problem by training span-level hallucination detectors using reinforcement learning and chain-of-thought reasoning.
Approach: They propose a framework that explicitly enforces active evidence seeking during CoT reasoning by requiring quotation of relevant source segments at each verification step.
Outcome: The proposed framework improves hallucination span detection performance with limited reasoning overhead and improved robustness in out-of-domain settings.

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