Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
Video Large Language Models (VideoLLMs) receive frames in sequential order and interpret how visual content evolves along the temporal axis, yet temporal reasoning remains a persistent weakness across architectures. Reversing the frame order of a video, a transformation that should invert temporal answers, often leaves...
Youngwoo Shin, Yusung Ro, Minseo Kim et al.
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