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20242026
most citedVideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation

2 citations · 2 across the 9 of their papers we have counts for

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cs.CL2024

MoDification: Mixture of Depths Made Easy

Chen Zhang, Meizhi Zhong, Qimeng Wang +8

Long-context efficiency has recently become a trending topic in serving large language models (LLMs). And mixture of depths (MoD) is proposed as a perfect fit to bring down both la…

cs.CL2024

Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents

Shiwei Wu, Chen Zhang, Yan Gao +4

Instructional documents are rich sources of knowledge for completing various tasks, yet their unique challenges in conversational question answering (CQA) have not been thoroughly…