Papers by Ningxin Wu

1 papers
Beyond Detection: Evaluating Fallacy Awareness of LLMs in Interactive Scenarios (2026.acl-long)

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Challenge: Large Language Models fail to recognize fallacious reasoning in real-world interactions despite strong performance on static fallacy detection tasks.
Approach: They propose a Chinese benchmark to assess fallacy awareness without explicit cues . they propose 'fate' evaluation framework that assesses fallacy without explicit .
Outcome: The proposed framework assesses fallacy awareness without explicit cues, combining natural dialogue responses and reasoning-based decisions.

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