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cs.CV2026
Perception Before Reasoning: Dynamic Latent Reasoning for Video Understanding and Question Answering
Haotian Xia, Zilin Xiao, Junbo Zou +2
Video question answering requires models to ground language queries in visual evidence and, when necessary, reason over that evidence across time. Existing methods typically rely o…
cs.CV2026
VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding
Junbo Zou, Ziheng Huang, Shengjie Zhang +2
Long-form video understanding remains challenging for Vision-Language Models (VLMs) due to the inherent tension between computational constraints and the need to capture informatio…
q-fin.GN2026
UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videos
Zhi Yang, Lingfeng Zeng, Fangqi Lou +16
Multimodal large language models are playing an increasingly significant role in empowering the financial domain, however, the challenges they face, such as multimodal and high-den…