Jaehong Yoon

2 papers indexed

arxivcs.CVcs.AI2026-06-29

MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs

Yuxuan Fan, Gyusik Seo, Jing Hao, Jaemin Cho, Mohit Bansal, Jaehong Yoon

Audiovisual arts encompass diverse creative disciplines, including cinema, visual arts, stage performance, and game design, where artistic meaning arises from deliberate combinations of visual, auditory, and narrative elements (e.g., fear amplified through claustrophobic framing,…

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arxivcs.CVcs.AI2026-06-25

Confidence-Aware Tool Orchestration for Robust Video Understanding

Yangfan He, Yujin Choi, Jaehong Yoon

Video reasoning language models implicitly assume that every input frame is equally reliable. This leads to what we term the Blind Trust Problem: under realistic perturbations such as motion blur, glare, or occlusion, frontier video reasoning models can suffer 15-30%p accuracy dr…

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