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Bing-Hong Li

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Preprint Sep 2026

Frame Differential On-Policy Self-Distillation for Video Reasoning

Reinforcement learning (RL) has substantially improved the reasoning ability of multimodal language models through verifiable rewards and increasingly fine-grainedvisual or temporal credit assignment. In video reasoning, however, current RL methods typically train with a fixed sparse frame budget: increasing the number...

Haiying He, Xin Zheng, Shao-Li Hu et al. · 0 citations
Open access Sep 2026

Causal deconfounding for robust link prediction in multimodal knowledge networks

Sensitivity analysis shows that the gains are mainly attributable to background-dominated prototypes, supporting the proposed visual-confounder assumption within its stated limits, and MKGC-CSR remains more robust than noise-augmented baselines under Gaussian corruption.

Bing-Hong Li, Chu-Xin Xiao · 0 citations

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