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cs.CV2026
EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection
Wenhao Zhang, Kuanwei Lin, Xuyi Yang +2
Long-video reasoning is fundamentally constrained by how models acquire and utilize visual evidence. Existing tool-augmented video frameworks often interleave temporal grounding an…
cs.CV2025
VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition
Hongbo Jin, Kuanwei Lin, Wenhao Zhang +2
Reinforcement Learning (RL) is crucial for empowering VideoLLMs with complex spatiotemporal reasoning. However, current RL paradigms predominantly rely on random data shuffling or…
cs.CV2025
Enhancing Long Video Question Answering with Scene-Localized Frame Grouping
Xuyi Yang, Wenhao Zhang, Hongbo Jin +5
Current Multimodal Large Language Models (MLLMs) often perform poorly in long video understanding, primarily due to resource limitations that prevent them from processing all video…