activity
20202026
most citedPosition-Enhanced Visual Instruction Tuning for Multimodal Large Language Models

10 citations · 20 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV2024

StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding

Junming Lin, Zheng Fang, Chi Chen +5

The rapid development of Multimodal Large Language Models (MLLMs) has expanded their capabilities from image comprehension to video understanding. However, most of these MLLMs focu…

cs.CV2024

ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models

Ziyue Wang, Chi Chen, Fuwen Luo +6

Active perception, a crucial human capability, involves setting a goal based on the current understanding of the environment and performing actions to achieve that goal. Despite si…

cs.CV2024

CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models

Fuwen Luo, Chi Chen, Zihao Wan +11

Multimodal large language models (MLLMs) have demonstrated promising results in a variety of tasks that combine vision and language. As these models become more integral to researc…

cs.CV2024★ 3 cited

Model Composition for Multimodal Large Language Models

Chi Chen, Yiyang Du, Zheng Fang +8

Recent developments in Multimodal Large Language Models (MLLMs) have shown rapid progress, moving towards the goal of creating versatile MLLMs that understand inputs from various m…

cs.CL2024

Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion

Ziyue Wang, Chi Chen, Yiqi Zhu +7

With the bloom of Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) that incorporate LLMs with pre-trained vision models have recently demonstrated impressive…