Author

Man-Ro Yong

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#artificial intelligence Jan 2026

MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models

This work proposes Modality-Adaptive Decoding (MAD), a training-free method that adaptively weights modality-specific decoding branches based on task requirements based on task requirements, demonstrating that explicit modality awareness through self-assessment is crucial for robust multimodal reasoning.

Sangyun Chung, Se Yeon Kim, Youngchae Chee et al. · arXiv.org · 3 citations · ⚡2

#computer vision Preprint Sep 2026

From Coordinates to Candidate Regions: Temporal Change Localization via Region Selection in Remote Sensing Multimodal LLMs

Remote sensing multimodal large language models (RS-MLLMs) have advanced scene understanding and visual question answering over satellite imagery, yet localizing specific objects or changed regions remains challenging. Existing approaches rely on generating bounding box coordinates as token sequences, which is fragile...

J. Chung, Sungjune Park, Yeongyun Kim et al. · 0 citations

#artificial intelligence Preprint Aug 2026

PRISM: Predictive Recomposition via Semantic Latent Decomposition for View-invariant Video Representation Learning

This work decomposes video into view-invariant and view-variant latents and recompose them under language supervision encouraging clean decomposition of the two streams, and proposes PRISM, that achieves state-of-the-art results on EgoExo4D, EgoExoLearn, AE2, even surpassing in-domain models under zero-shot setting.

Youngchae Chee, Ho-Su Lee, Sungjune Park et al. · 0 citations