4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2026
ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMs
An Yu, Ting Yu Tsai, Zhenfei Zhang +3
Recent multimodal large language models are computationally expensive because Transformers must process a large number of visual tokens. We present ReDiPrune, a training-free token…
cs.CV2024
LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval
Weiheng Lu, Jian Li, An Yu +3
Multimodal Large Language Models (MLLMs) are widely used for visual perception, understanding, and reasoning. However, long video processing and precise moment retrieval remain cha…
cs.CL2024★ 4 cited
A Survey on Benchmarks of Multimodal Large Language Models
Jian Li, Weiheng Lu, Hao Fei +11
Multimodal Large Language Models (MLLMs) are gaining increasing popularity in both academia and industry due to their remarkable performance in various applications such as visual…