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Author

Minyoung Noh

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Revealing Multi-View Hallucination in Large Vision-Language Models

Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. Despite this growing use, current LVLMs often generate incorrect responses due to visual interference from non-target instances or viewpoints, a phenomenon we term multi-view hallucination (M...

Woo-Soon Park, Insu Lee, Soohyun Kim et al. · 1 citation
Preprint Aug 2026

Dependency-Aware Revocable Decoding for Efficient Diffusion Large Language Model Inference

DARD is proposed, a training-free framework that separates tokens into masked, candidate, and unmasked states and adaptively regulates their influence on subsequent decoding, and consistently improves the speed-quality Pareto frontier over recent revocable decoding methods.

Woo-Soon Park, Insu Lee, Minyoung Noh et al. · 1 citation

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