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Zhao-Yang Wei

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Preprint Sep 2026

Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?

Multimodal Large Language Models have demonstrated impressive video understanding, yet their ability to reason over long-form narratives is often masked by visual-centric evaluations and inefficient context processing. Existing benchmarks over-rely on visual heuristics while marginalizing auditory cues, effectively red...

Zhao-Yang Wei, Zipeng Wang, Yu-She Cao et al. · 0 citations
#artificial intelligence Open access Jun 2025

Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban Scenes

Evidence-grounded visual reasoning (EGVOR) is proposed, departing from implicit inference, EGVOR reformulates reasoning as the explicit generation of Evidence Atoms–structured triplets that enforce strict spatial-semantic alignment.

Zhao-Yang Wei, Bo-Wen Jiang, Xumeng Han et al. · 6 citations · ⚡1
Preprint Aug 2026

LUT: Latent Utility Training for Visual Reasoning

Experiments on perception-intensive visual reasoning benchmarks show that LUT outperforms previous latent reasoning methods and remains competitive with latent-text interleaved methods with lower annotation cost.

J. Kang, Siyue Chen, Ming-Da Li et al. · 1 citation

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