阿里巴巴与南开大学联合推出LLaVA-Scissor视频大模型压缩技术，采用基于图论的SCC算法，通过两步时空压缩策略（空间压缩识别语义区域+时间压缩去除跨帧冗余），显著降低token数量。实验显示，在50% token保留率下性能与原始模型相当，35%保留率时EgoSchema准确率达57.94%，有效解决了视频处理中的token激增和语义保留难题。（139字）
Huawei
-
输入tokens/百万
输出tokens/百万
32
上下文长度
Chatglm
128
Minimax
$100
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