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Zhengyuan Yang

90 papers hereh-index 369.5k citations109 works total

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

author position
  • first author7
  • middle author81

Across the 88 of 90 papers where every author was matched, so the position is known.

fields
  • cs.CV72
  • cs.CL8
  • cs.AI4
  • cs.LG2
  • cs.GR1
  • cs.HC1
same name
  • Zhengyuan Yang — 14 papers, h 15
  • Zhengyuan Yang — 5 papers, h 3
  • Zhengyuan Yang — 4 papers, h 3
  • Zhengyuan Yang — 2 papers, h 3
  • Zhengyuan Yang — 1 paper

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 citedGIT: A Generative Image-to-text Transformer for Vision and Language

211 citations · 822 across the 80 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Planning with the Views

Kangrui Wang, Linjie Li, Zhengyuan Yang +7

Can VLMs predict how each camera move changes the view, and plan many such moves ahead? We call this capability view planning, requiring (1)understanding how a single action transf…

cs.AI2026

SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects

Puyi Wang, Yuhao Wang, Linjie Li +4

Indoor scene synthesis underpins embodied AI, robotic manipulation, and simulation-based policy evaluation, where a useful scene must specify not only what the environment looks li…

cs.AI2025

VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents

Kangrui Wang, Pingyue Zhang, Zihan Wang +13

A key challenge in training Vision-Language Model (VLM) agents, compared to Language Model (LLM) agents, lies in the shift from textual states to complex visual observations. This…

cs.AI2023★ 59 cited

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Weihao Yu, Zhengyuan Yang, Linjie Li +5

We propose MM-Vet, an evaluation benchmark that examines large multimodal models (LMMs) on complicated multimodal tasks. Recent LMMs have shown various intriguing abilities, such a…

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