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Shun-Wei Lei

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#artificial intelligence Preprint Sep 2026

OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning

Recent advances have enabled unified omni-modal models in understanding audio, vision, and language. However, existing benchmarks, training data, and learning methods largely treat the modalities independently, leaving the capability of audio-visual joint reasoning poorly evaluated and insufficiently elicited. We addre...

Junming Lin, Yuxuan Wang, Zhen-Xin Lei et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Thinking in Depth, Speaking Directly: Recurrent Latent Reasoning for Paralinguistically Grounded Spoken Dialogue

Empathetic spoken dialogue requires models to use both what is said and how it is said to decide how to respond. Explicit CoT can improve paralinguistic perception and make acoustic cues more explicit in replies, yet does not ensure their effective use in response planning. We call this mismatch the perception-reasonin...

Sheng-Bo Cai, Yu-Xiang Wang, Jing-Ran Xie et al. · 0 citations

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