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Yunyang Xiong

Yunyang Xiong has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Vision & language; often with Raghuraman Krishnamoorthi, Vikas Chandra, Zechun Liu.

2 papers in our library · 2023–2024

OpenAlex · h-index 12 · 38 works · 1,343 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 264 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6201

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢MetaMenlo Park · United States2023–2026 · 6 paperscurrent🎓University of Maryland, College ParkCollege Park · United States2026 · 1 papercurrent🎓University of Wisconsin–MadisonMadison · United States2017–2025 · 10 papers🎓University of British ColumbiaVancouver · Canada2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 1 workArtificial Intelligence · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning (2023 · 199 citations)
    The paper asks whether one vision-language model can handle many different tasks without confusing them. The same request, such as asking where a person is, may call for a bounding box, a verbal description or a list of all detections. MiniGPT-v2 addresses this ambiguity. A frozen EVA ViT encoder processes 448x448…
  2. Agent-as-a-Judge: Evaluate Agents with Agents (2024 · 50 citations)
    Agentic systems solve problems through long sequences of actions, but most benchmarks only score the final output.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYunyang Xiong et al.2021 · 433 citations
  2. EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYunyang Xiong et al.2024 · 278 citations
  3. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningarXiv:2310.09478Jun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 199 citations
  4. Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYunyang Xiong, Hyunwoo J. Kim, Vikas Singh2019 · 93 citations
  5. Agent-as-a-Judge: Evaluate Agents with AgentsarXiv:2410.10934Mingchen Zhuge, Changsheng Zhao, Dylan Ashley, et al.2024 · 50 citations

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 264 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

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