AI RESEARCH
ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting
arXiv CS.CV
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ArXi:2603.23186v1 Announce Type: new Recent advancements in Video Large Language Models (VideoLLMs) have enabled strong performance across diverse multimodal video tasks. To reduce the high computational cost of processing dense video frames, efficiency-oriented methods such as frame selection have been widely adopted. While effective at minimizing redundancy, these methods often cause notable performance drops on tasks requiring temporal reasoning.