Papers by Yueheng Mao

1 papers
The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness (2026.acl-long)

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Challenge: Large Language Models (LLMs) often generate overconfident yet factually incorrect hallucinations.
Approach: They propose a black-box-based framework that captures stubborn hallucinations by integrating internal geometric dynamics with output probability distributions.
Outcome: The proposed framework outperforms white-box methods and reduces computational overhead by over 90%.

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