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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

Link prediction in multimodal knowledge networks jointly exploits topology, text, and images, but visual backgrounds may introduce spurious correlations that reduce robustness under distribution shift. We propose MKGC-CSR, a causal deconfounding framework that models visual context as a confounder and approximates back...

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

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