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researcher

Zirui Wang

Princeton University

12 papers hereh-index 10609 citations15 works total

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

author position
  • first author4
  • middle author8

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL4
  • cs.IR1
  • cs.LG1
affiliations
  • Princeton University
HomepageORCID 0009-0005-1329-5607
same name
  • Zirui Wang — 58 papers, h 21
  • Zirui Wang — 18 papers, h 10
  • Zirui Wang — 16 papers, h 11
  • Zirui Wang — 8 papers, h 13
  • Zirui Wang — 6 papers
  • Zirui Wang — 6 papers, h 33

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
20222026
most citedLanguage Models Meet World Models: Embodied Experiences Enhance Language Models

23 citations · 35 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Open-Ended CT Volume Segmentation with Weak Supervision from Language

Sanjay Subramanian, Junwei Yu, Zirui Wang +5

We introduce a method for training a text-conditioned segmentation model for CT scans, which combines voxel-level supervision with coarse but scalable slice-level supervision from…

cs.CV2026

Stateful Visual Encoders for Vision-Language Models

Zirui Wang, Junwei Yu, Adam Yala +3

Vision-language models (VLMs) are increasingly used in multi-image, multi-turn agentic settings where decisions depend on visual changes. However, in existing open-weight VLMs, vis…

cs.IR2026

PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation

Yichuan Wang, Zhifei Li, Zirui Wang +5

Augmenting large language models (LLMs) with retrieved web text has become a dominant paradigm, yet the web is not natively textual: existing systems depend on complex parsing pipe…

cs.CV2026

VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents

Zirui Wang, Junyi Zhang, Jiaxin Ge +9

Modern Vision-Language Models (VLMs) remain poorly characterized in multi-step visual interactions, particularly in how they integrate perception, memory, and action over long hori…

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