[QA] LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs

LLaVA-Scissor introduces a training-free token compression method for video multimodal models, utilizing Semantic Connected Components for effective, non-redundant semantic coverage, outperforming existing methods in various benchmarks.

https://arxiv.org/abs//2506.21862

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