AI RESEARCH
AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding
arXiv CS.CV
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ArXi:2604.08077v1 Announce Type: new Processing long-form videos with Video Large Language Models (Video-LLMs) is computationally prohibitive. Current efficiency methods often compromise fine-grained perception through irreversible information disposal or inhibit long-range temporal modeling via rigid, predefined sparse patterns. This paper