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Ruibin Yuan

Ruibin Yuan has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Bias, fairness & safety, Vision & language; often with Ge Zhang, Baolong Bi, Dong Zhang.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 10 · 76 works · 690 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 872 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6606

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2023–2026 · 34 papersEducationEmploymentcurrent🏛️Arkansas Department of Career EducationLittle Rock · United States2026 · 1 papercurrent🎓Carnegie Mellon UniversityPittsburgh · United States2022–2025 · 13 papers🔬Beijing Academy of Artificial IntelligenceBeijing · China2022–2023 · 6 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksPsychology · 1 workExperimental and Cognitive Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20261 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling (2024 · 95 citations)
    AnyGPT addresses the challenge of building one language model that can both understand and generate several non-text modalities (speech, images, music) in any combination.
  2. OmniBench: Towards The Future of Universal Omni-Language Models (2024 · 17 citations)
    Most multimodal LLMs are built and tested on pairs of modalities (image–text or audio–text), so it is unclear how well they handle an image, an audio clip and a text instruction together.
  3. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router (2026 · 4 citations)
    Safety alignment in LLMs usually works as a yes/no gate: a prompt is either answered or refused. This tends to block harmless requests, such as a "killer slideshow," and to miss subtle or context-dependent harm. The authors propose HiddenGuard, which moderates output token by token instead of refusing whole answers.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. AnyGPT: Unified Multimodal LLM with Discrete Sequence ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Jun Zhan, Junqi Dai, Jiasheng Ye, et al.2024 · 95 citations
  2. RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation ↗arXiv:2404.00610 · no summary yetChi-Min Chan et al.2024 · 90 citations
  3. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines ↗arXiv:2502.14739 · no summary yetM-A-P Team et al.2025 · 89 citations
  4. OmniBench: Towards The Future of Universal Omni-Language ModelsConference on Neural Information Processing Systems (NeurIPS)Yizhi Li, Yinghao Ma, Ge Zhang, et al.2024 · 17 citations
  5. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation RouterAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations

 Co-authors here

12 of 23 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 872 times (of the 149,439 papers whose bibliographies we read); 220 citing papers with a page here →.

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