--- title: "Yingshui Tan · Alibaba Group — author profile and papers" description: "Yingshui Tan, Alibaba Group: 4 papers on Elamur Research (2024–2026), h-index 6 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/yingshui-tan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yingshui-tan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yingshui Tan # Yingshui Tan Yingshui Tan has 4 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/), [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Boren Zheng](https://md.research.elamur.ai/free/en/authors/boren-zheng/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100551756) · [**h-index 6**](https://openalex.org/authors/A5100551756) · [37 works](https://openalex.org/works?filter=author.id:A5100551756) · [101 citations](https://openalex.org/works?filter=author.id:A5100551756&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yingshui-tan/#papers) · [🔗 Cited 49 times in our library](https://md.research.elamur.ai/free/en/authors/yingshui-tan/cited-by/) · [⭐ Paper Stars ranking: #8925](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8925) 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=Yingshui+Tan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yingshui+Tan) · [dblp](https://dblp.org/search?q=Yingshui+Tan) · [ACL Anthology](https://aclanthology.org/search/?q=Yingshui+Tan) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2024–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba Group** San Mateo · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-united-states/) · [🎓**University of California, Berkeley** Berkeley · United States 2019–2021 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**RWTH Aachen University** Aachen · Germany 2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/rwth-aachen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 3 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yingshui-tan/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yingshui-tan/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/yingshui-tan/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-chinese-simpleqa-chinese-factuality/)** *(2024 · 34 citations)* Hallucination remains a major weakness of large language models. Factuality is hard to measure when models produce long answers that mix many claims. OpenAI's SimpleQA addressed this with short fact-seeking questions, but it covers only English. Chinese SimpleQA is a Chinese counterpart: 3,000 short questions, each… 2. **[HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States](https://md.research.elamur.ai/free/en/papers/jiang-2025-hiddendetect-detecting-jailbreak-attacks-against/)** *(2025 · 15 citations)* Vision-language models (LVLMs) are easier to jailbreak than text-only LLMs. Common defenses rely on safety fine-tuning or protective prompts, which are costly or tend to over-refuse. This paper asks whether a model's own hidden states already show that a prompt is harmful before any output is generated. 3. **[Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/)** *(2024 · 4 citations)* Models deployed in China must handle questions about local law, policy and ethics correctly. Existing safety benchmarks mostly use red-teaming or case-based prompts that mix several risks at once, which makes it hard to tell which areas of safety knowledge a model lacks. The authors introduce Chinese SafetyQA, a… 4. **[USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS](https://md.research.elamur.ai/free/en/papers/zheng-2026-usb-comprehensive-unified-safety-evaluation/)** *(2026 · 1 citation)* Existing safety benchmarks for multimodal large language models (MLLMs) cover few risk types and contain few samples. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×3 - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) ×2 - [Boren Zheng](https://md.research.elamur.ai/free/en/authors/boren-zheng/) ×2 - [Huiyun Jing](https://md.research.elamur.ai/free/en/authors/huiyun-jing/) ×2 - [Jincheng Wei](https://md.research.elamur.ai/free/en/authors/jincheng-wei/) ×2 - [Weixun Wang](https://md.research.elamur.ai/free/en/authors/weixun-wang/) ×2 - [Wenbo Su](https://md.research.elamur.ai/free/en/authors/wenbo-su/) ×2 - [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/) ×2 - [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) - [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Kaifu Zhang](https://md.research.elamur.ai/free/en/authors/kaifu-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/) ## Cited by Papers of our library cite their works 49 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yingshui-tan/cited-by/). Updated 1 November 2026