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​阿里巴巴与南开大学携手推出视频大模型新型压缩技术LLaVA-Scissor

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)

12.4k 4 days ago
​阿里巴巴与南开大学携手推出视频大模型新型压缩技术LLaVA-Scissor

Models

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Pangu-AgentExpert-N1-0.0.2

Huawei

Pangu-AgentExpert-N1-0.0.2

-

Input tokens/M

-

Output tokens/M

32

Context Length

GLM-Z1-Flash

Chatglm

GLM-Z1-Flash

-

Input tokens/M

-

Output tokens/M

128

Context Length

MiniMax S2V-01

Minimax

MiniMax S2V-01

-

Input tokens/M

-

Output tokens/M

-

Context Length

GLM-4-Plus

Chatglm

GLM-4-Plus

$100

Input tokens/M

$100

Output tokens/M

128

Context Length

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