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Yanzhe Zhang

Georgia Institute of Technology

23 papers hereh-index 161.8k citations26 works total

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

author position
  • first author6
  • middle author17

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

fields
  • cs.CL14
  • cs.CV4
  • cs.AI2
  • cs.CR2
  • cs.SE1
affiliations
  • Georgia Institute of Technology
HomepageORCID 0000-0002-1874-2622
same name
  • Yanzhe Zhang — 4 papers, h 2
  • Yanzhe Zhang — 1 paper
  • Yanzhe Zhang — 1 paper, h 4
  • Yanzhe Zhang — 1 paper, h 1
  • Yanzhe Zhang — 1 paper, h 6

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 citedLLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

27 citations · 87 across the 22 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

EgoNormia: Benchmarking Physical Social Norm Understanding

MohammadHossein Rezaei, Yicheng Fu, Phil Cuvin +4

Human activity is moderated by norms; however, supervision for normative reasoning is sparse, particularly where norms are physically- or socially-grounded. We thus present EGONORM…

cs.CV2024★ 1 cited

TRINS: Towards Multimodal Language Models that Can Read

Ruiyi Zhang, Yanzhe Zhang, Jian Chen +4

Large multimodal language models have shown remarkable proficiency in understanding and editing images. However, a majority of these visually-tuned models struggle to comprehend th…

cs.CV2023★ 27 cited

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu +4

Instruction tuning unlocks the superior capability of Large Language Models (LLM) to interact with humans. Furthermore, recent instruction-following datasets include images as visu…

cs.CV2023★ 9 cited

Auditing Gender Presentation Differences in Text-to-Image Models

Yanzhe Zhang, Lu Jiang, Greg Turk +1

Text-to-image models, which can generate high-quality images based on textual input, have recently enabled various content-creation tools. Despite significantly affecting a wide ra…

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