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Chi Chen

17 papers hereh-index 11460 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author11

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.CL7
  • cs.AI1
same name
  • Chi Chen — 21 papers, h 29
  • Chi Chen — 11 papers, h 4
  • Chi Chen — 5 papers, h 2
  • Chi Chen — 5 papers, h 3
  • Chi Chen — 4 papers, h 4
  • Chi Chen — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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 2024 · cs.CVShow all

4 papers · 2 filters

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.