--- title: "Youliang Yuan — author profile and papers — Elamur Research" description: "Youliang Yuan, Shenzhen Research Institute of Big Data: 5 papers on Elamur Research (2023–2026), h-index 5 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/youliang-yuan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/youliang-yuan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Youliang Yuan # Youliang Yuan Youliang Yuan has 5 papers in our library, in 2023–2026, 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 [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/), [Pinjia He](https://md.research.elamur.ai/free/en/authors/pinjia-he/), [Wenxuan Wang](https://md.research.elamur.ai/free/en/authors/wenxuan-wang/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5101287548) · [**h-index 5**](https://openalex.org/authors/A5101287548) · [18 works](https://openalex.org/works?filter=author.id:A5101287548) · [65 citations](https://openalex.org/works?filter=author.id:A5101287548&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/youliang-yuan/#papers) · [🔗 Cited 173 times in our library](https://md.research.elamur.ai/free/en/authors/youliang-yuan/cited-by/) · [⭐ Paper Stars ranking: #5729](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5729) 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=Youliang+Yuan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Youliang+Yuan) · [dblp](https://dblp.org/search?q=Youliang+Yuan) · [ACL Anthology](https://aclanthology.org/search/?q=Youliang+Yuan) ## Affiliations [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2023–2025 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Shenzhen Research Institute of Big Data** Shenzhen · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-research-institute-of-big-data/) · [🏢**Tencent** Shenzhen · China 2023–2024 · 5 papers](https://md.research.elamur.ai/free/en/companies/tencent/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 3 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 5 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/youliang-yuan/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/youliang-yuan/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/youliang-yuan/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher](https://md.research.elamur.ai/free/en/papers/yuan-2023-gpt-4-too-smart-safe/)** *(2023 · 168 citations)* The paper examines whether safety alignment in large language models, which is trained mostly on natural-language data, still holds when users communicate through encoded text. 2. **[Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training](https://md.research.elamur.ai/free/en/papers/yuan-2025-refuse-whenever-you-feel-unsafe/)** *(2025 · 19 citations)* Safety-tuning data for LLMs usually places refusal phrases ("Sorry", "I cannot") at the very start of the reply. 3. **[Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-insight-over-sight-exploring-vision/)** *(2025 · 6 citations)* The paper investigates how multimodal LLMs behave when an image contradicts everyday commonsense they absorbed during training. 4. **[SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-shape-unifying-safety-helpfulness-pedagogy/)** *(2026 · 2 citations)* The paper looks at a weakness of LLM tutors that the authors call "pedagogical jailbreaks." In these attacks, students write prompts designed to extract final solutions when the tutor should be guiding them step by step. 5. **[Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-identifying-achilles-heel-iterative-method/)** *(2026)* Large language models often state false facts with confidence. Existing factuality benchmarks have four main weaknesses: they need costly manual annotation, their static test sets may have leaked into training data, they cover few topics or question formats, and they cannot steer testing toward a model's weak spots.… ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/) ×4 - [Pinjia He](https://md.research.elamur.ai/free/en/authors/pinjia-he/) ×4 - [Wenxuan Wang](https://md.research.elamur.ai/free/en/authors/wenxuan-wang/) ×4 - [Zhaopeng Tu](https://md.research.elamur.ai/free/en/authors/zhaopeng-tu/) ×4 - [Wenxiang Jiao](https://md.research.elamur.ai/free/en/authors/wenxiang-jiao/) ×3 - [Jiahao Xu](https://md.research.elamur.ai/free/en/authors/jiahao-xu/) - [Michael R. Lyu](https://md.research.elamur.ai/free/en/authors/michael-r-lyu/) - [Qiuzhi Liu](https://md.research.elamur.ai/free/en/authors/qiuzhi-liu/) - [Shuming Shi](https://md.research.elamur.ai/free/en/authors/shuming-shi/) - [Tian Liang](https://md.research.elamur.ai/free/en/authors/tian-liang/) - [Xiaoyuan Liu](https://md.research.elamur.ai/free/en/authors/xiaoyuan-liu/) - [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 173 times (of the 149,439 papers whose bibliographies we read); [54 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/youliang-yuan/cited-by/). Updated 1 November 2026