Papers by Mofan Cheng

1 papers
Probing Audio-Visual Reasoning in Multimodal Language Models through the Lens of Audio (2026.acl-long)

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Challenge: Recent multimodal large language models lack robust audio-visual integration ability and performance on DeafTest is highly correlated with AV-Odyssey accuracy.
Approach: They propose a benchmarking tool that integrates audio-visual reasoning with audio-video cues to infer solutions.
Outcome: The proposed model performs well on DeafTest, but lacks audio perception in simple audio tasks.

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