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Author

Ze-Long Xu

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#artificial intelligence Preprint Sep 2026

SyncRA: Learning Temporal Correspondence in Omni-Modal Models

Recent omni-modal models demonstrate strong perception of audio and visual inputs, yet often struggle to connect what they hear with what they see at the same moment. This weakness in temporal correspondence can cause models to associate spoken cues with the wrong visual scenes, producing plausible answers grounded in...

Ze-Long Xu, Yan Li, Wen-He Hu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

CUA-SWE: When Computer-Use Agents Meet Visual Software Engineering

This evaluation characterizes how frontier agents combine source-level execution with application screenshots and graphical interaction to produce verified software changes, and examines performance across domains and task information requirements, alongside the development behaviors associated with successful repairs.

P. Wang, Chen-Hao Liang, Ze-Long Xu et al. · 0 citations

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