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researcher

Ge Zhang

01.ai

49 papers hereh-index 318.8k citations56 works total

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

author position
  • first author2
  • middle author35

Across the 37 of 49 papers where every author was matched, so the position is known.

fields
  • cs.CL30
  • cs.SD8
  • cs.AI3
  • cs.CV3
  • cs.SE2
  • cs.IR1
affiliations
  • 01.ai
  • The Hong Kong University of Science and Technology
  • University of Waterloo
ORCID 0000-0002-0064-2906
same name
  • Ge Zhang — 17 papers, h 6
  • Ge Zhang — 13 papers, h 11
  • Ge Zhang — 12 papers, h 2
  • Ge Zhang — 12 papers, h 8
  • Ge Zhang — 10 papers, h 7
  • Ge Zhang — 8 papers, h 5

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
20202024
most citedMMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

34 citations · 117 across the 19 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024★ 1 cited

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text

Tianyu Zhang, Suyuchen Wang, Lu Li +6

We introduce Visual Caption Restoration (VCR), a novel vision-language task that challenges models to accurately restore partially obscured texts using pixel-level hints within ima…

cs.CV2024

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

Weiming Ren, Huan Yang, Ge Zhang +4

Image-to-video (I2V) generation aims to use the initial frame (alongside a text prompt) to create a video sequence. A grand challenge in I2V generation is to maintain visual consis…

cs.CV2023

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Cong Wei, Yang Chen, Haonan Chen +5

Existing information retrieval (IR) models often assume a homogeneous format, limiting their applicability to diverse user needs, such as searching for images with text description…

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