--- title: "Ruibin Yuan — author profile and papers — Elamur Research" description: "Ruibin Yuan, Hong Kong University of Science and Technology: 3 papers on Elamur Research (2024–2026), h-index 10 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/ruibin-yuan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ruibin-yuan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ruibin Yuan # Ruibin Yuan Ruibin Yuan has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/), [Baolong Bi](https://md.research.elamur.ai/free/en/authors/baolong-bi/), [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5067150934) · [ORCID](https://orcid.org/0009-0002-0539-6916) · [**h-index 10**](https://openalex.org/authors/A5067150934) · [76 works](https://openalex.org/works?filter=author.id:A5067150934) · [690 citations](https://openalex.org/works?filter=author.id:A5067150934&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ruibin-yuan/#papers) · [🔗 Cited 872 times in our library](https://md.research.elamur.ai/free/en/authors/ruibin-yuan/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6606](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6606) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ruibin+Yuan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ruibin+Yuan) · [dblp](https://dblp.org/search?q=Ruibin+Yuan) · [ACL Anthology](https://aclanthology.org/search/?q=Ruibin+Yuan) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2023–2026 · 34 papersEducationEmployment*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🏛️**Arkansas Department of Career Education** Little Rock · United States 2026 · 1 paper*current*](https://ror.org/02pr6am85) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2022–2025 · 13 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2022–2023 · 6 papers](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/ruibin-yuan/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/ruibin-yuan/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling](https://md.research.elamur.ai/free/en/papers/zhan-2024-anygpt-unified-multimodal-llm-discrete/)** *(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](https://md.research.elamur.ai/free/en/papers/li-2024-omnibench-towards-future-universal-omni/)** *(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](https://md.research.elamur.ai/free/en/papers/mei-2026-hiddenguard-fine-grained-safe-generation/)** *(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 Modeling](https://md.research.elamur.ai/free/en/papers/zhan-2024-anygpt-unified-multimodal-llm-discrete/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jun Zhan, Junqi Dai, Jiasheng Ye, et al.*2024 · 95 citations* 2. **[RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation ↗](https://arxiv.org/abs/2404.00610) arXiv:2404.00610 · no summary yet**Chi-Min Chan et al.*2024 · 90 citations* 3. **[SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines ↗](https://arxiv.org/abs/2502.14739) arXiv:2502.14739 · no summary yet**M-A-P Team et al.*2025 · 89 citations* 4. **[OmniBench: Towards The Future of Universal Omni-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-omnibench-towards-future-universal-omni/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yizhi Li, Yinghao Ma, Ge Zhang, et al.*2024 · 17 citations* 5. **[HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router](https://md.research.elamur.ai/free/en/papers/mei-2026-hiddenguard-fine-grained-safe-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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. - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) ×2 - [Baolong Bi](https://md.research.elamur.ai/free/en/authors/baolong-bi/) - [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/) - [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/) - [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Jiasheng Ye](https://md.research.elamur.ai/free/en/authors/jiasheng-ye/) - [Jie Fu](https://md.research.elamur.ai/free/en/authors/jie-fu/) - [Jun Zhan](https://md.research.elamur.ai/free/en/authors/jun-zhan/) - [Junqi Dai](https://md.research.elamur.ai/free/en/authors/junqi-dai/) - [Lingrui Mei](https://md.research.elamur.ai/free/en/authors/lingrui-mei/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## 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 →](https://md.research.elamur.ai/free/en/authors/ruibin-yuan/cited-by/). Updated 31 October 2026