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Jiahui Gao

23 papers hereh-index 171.9k citations33 works total

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

author position
  • first author1
  • middle author21

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.LG5
  • cs.CV4
  • cs.AI2
same name
  • Jiahui Gao — 4 papers, h 3
  • Jiahui Gao — 2 papers, h 6
  • Jiahui Gao — 1 paper, h 4
  • Jiahui Gao — 1 paper, h 1
  • Jiahui Gao — 1 paper, h 3
  • Jiahui Gao — 1 paper, h 2

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
20212026
most citedRevisiting Over-smoothing in BERT from the Perspective of Graph

7 citations · 8 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone

Jiacheng Ye, Shansan Gong, Jiahui Gao +6

While autoregressive Large Vision-Language Models (VLMs) have achieved remarkable success, their sequential generation often limits their efficacy in complex visual planning and dy…

cs.CV2024

ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom

Jingqi Zhou, Sheng Wang, Jingwei Dong +6

Large vision-language models (LVLMs) have witnessed significant progress on visual understanding tasks. However, they often prioritize language knowledge over image information on…

cs.CV2023★ 1 cited

PerceptionGPT: Effectively Fusing Visual Perception into LLM

Renjie Pi, Lewei Yao, Jiahui Gao +2

The integration of visual inputs with large language models (LLMs) has led to remarkable advancements in multi-modal capabilities, giving rise to visual large language models (VLLM…

cs.CV2023

DetGPT: Detect What You Need via Reasoning

Renjie Pi, Jiahui Gao, Shizhe Diao +8

In recent years, the field of computer vision has seen significant advancements thanks to the development of large language models (LLMs). These models have enabled more effective…

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