--- title: "Huiyun Jing — author profile and papers — Elamur Research" description: "Huiyun Jing: 2 papers on Elamur Research (2024–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/huiyun-jing/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/huiyun-jing/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Huiyun Jing # Huiyun Jing Huiyun Jing has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/), [Jincheng Wei](https://md.research.elamur.ai/free/en/authors/jincheng-wei/), [Wenbo Su](https://md.research.elamur.ai/free/en/authors/wenbo-su/). 2 papers in our library · 2024–2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/huiyun-jing/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/huiyun-jing/cited-by/) · [⭐ Paper Stars ranking: #10553](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10553) 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=Huiyun+Jing) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Huiyun+Jing) · [dblp](https://dblp.org/search?q=Huiyun+Jing) · [ACL Anthology](https://aclanthology.org/search/?q=Huiyun+Jing) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [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/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/huiyun-jing/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/huiyun-jing/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[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 10 co-authors with a page, the most papers together first. - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×2 - [Jincheng Wei](https://md.research.elamur.ai/free/en/authors/jincheng-wei/) ×2 - [Wenbo Su](https://md.research.elamur.ai/free/en/authors/wenbo-su/) ×2 - [Yingshui Tan](https://md.research.elamur.ai/free/en/authors/yingshui-tan/) ×2 - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) - [Boren Zheng](https://md.research.elamur.ai/free/en/authors/boren-zheng/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Kaifu Zhang](https://md.research.elamur.ai/free/en/authors/kaifu-zhang/) - [Weixun Wang](https://md.research.elamur.ai/free/en/authors/weixun-wang/) - [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huiyun-jing/cited-by/). Updated 1 November 2026