Author

Ying Li

2 papers indexed here

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Preprint Jul 2026

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models

Fine-grained hallucination diagnosis for MLLMs is proposed, a new unified task that jointly performs hallucination detection, classification, and interpretable explanation generation and feedback experiments show that the fine-grained diagnostic explanations produced by the model effectively guide target models to correct their hallucinations.

Weilin Jin, Mingyu Wang, Wenbo Li et al. · 0 citations

Preprint Jul 2026

Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs

A lightweight linear detector is built on top of Role-Break that requires no fine-tuning of the VLM, whose feature dimension stays below 5,000 and reaches an average AUROC of 93.23 across six VLMs and four benchmarks.

Mingyu Wang, Weilin Jin, Wenbo Li et al. · 0 citations