--- title: "Zhexin Zhang — author profile and papers — Elamur Research" description: "Zhexin Zhang, Beijing Jiaotong University: 3 papers on Elamur Research (2023–2024), h-index 11 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/zhexin-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhexin-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhexin Zhang # Zhexin Zhang Zhexin Zhang has 3 papers in our library, in 2023–2024, 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/); often with [Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/), [Pei Ke](https://md.research.elamur.ai/free/en/authors/pei-ke/), [Fei Mi](https://md.research.elamur.ai/free/en/authors/fei-mi/). 3 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5102245113) · [ORCID](https://orcid.org/0009-0002-9601-3991) · [**h-index 11**](https://openalex.org/authors/A5102245113) · [58 works](https://openalex.org/works?filter=author.id:A5102245113) · [413 citations](https://openalex.org/works?filter=author.id:A5102245113&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhexin-zhang/#papers) · [🔗 Cited 313 times in our library](https://md.research.elamur.ai/free/en/authors/zhexin-zhang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4103](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4103) 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=Zhexin+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhexin+Zhang) · [dblp](https://dblp.org/search?q=Zhexin+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhexin+Zhang) ## Affiliations [🎓**Tsinghua University** Beijing · China 2021–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Beijing Jiaotong University** Beijing · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-jiaotong-university/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2021–2023 · 11 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🔬**State Key Laboratory of Intelligent Technology and Systems** Beijing 2021–2023 · 11 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/) · [🎓**Delta College of Science and Technology** Khartoum 2021–2023 · 7 papers](https://ror.org/00yga0160) · [🎓**University of Tsukuba** Tsukuba · Japan 2021–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-tsukuba/) · [🔬**Collaborative Innovation Center of Suzhou Nano Science and Technology** Suzhou · China 2022–2024 · 3 papers](https://ror.org/03h3fdc41) · [🎓**Soochow University** Suzhou · China 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🎓**Hangzhou Dianzi University** Hangzhou · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/hangzhou-dianzi-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. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 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/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Bias, fairness & safety · 3 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper Zhexin Zhang's papers of 2024](https://md.research.elamur.ai/free/en/papers/zhang-2024-defending-large-language-models-against/) · [**2023** 2 papers Zhexin Zhang's papers of 2023](https://md.research.elamur.ai/free/en/authors/zhexin-zhang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[SafetyBench: Evaluating the Safety of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-safetybench-evaluating-safety-large/)** *(2023 · 136 citations)* Assessing LLM safety is difficult. Earlier resources usually target a single risk such as toxicity or bias, and recent broad Chinese benchmarks cover only one language. Judging free-form outputs also requires either costly human raters or imperfect automatic classifiers. SafetyBench avoids the judging problem by… 2. **[Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization](https://md.research.elamur.ai/free/en/papers/zhang-2024-defending-large-language-models-against/)** *(2024 · 112 citations)* The paper argues that jailbreaking attacks on LLMs succeed because models are tuned for two competing objectives, helpfulness and safety, without being told which one wins when they clash. 3. **[Unveiling the Implicit Toxicity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2023-unveiling-implicit-toxicity-large-language/)** *(2023 · 71 citations)* Most red-teaming work on large language models looks for overtly abusive outputs, which standard toxicity detectors catch easily. ## 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. [**SafetyBench: Evaluating the Safety of Large Language Models arXiv:2309.07045**Zhexin Zhang, Leqi Lei, Lindong Wu, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-safetybench-evaluating-safety-large/) 2. **[Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization](https://md.research.elamur.ai/free/en/papers/zhang-2024-defending-large-language-models-against/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhexin Zhang, Junxiao Yang, Pei Ke, et al.*2024 · 112 citations* 3. **[Safety Assessment of Chinese Large Language Models ↗](https://arxiv.org/abs/2304.10436) arXiv:2304.10436 · no summary yet**Hao Sun et al.*2023 · 88 citations* 4. **[Unveiling the Implicit Toxicity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2023-unveiling-implicit-toxicity-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Wen, Pei Ke, Hao Sun, et al.*2023 · 71 citations* 5. **[How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study ↗](https://aclanthology.org/2026.acl-long.936/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhexin Zhang et al.*2026 · 5 citations* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/) ×3 - [Pei Ke](https://md.research.elamur.ai/free/en/authors/pei-ke/) ×2 - [Fei Mi](https://md.research.elamur.ai/free/en/authors/fei-mi/) - [Hao Sun](https://md.research.elamur.ai/free/en/authors/hao-sun/) - [Hongning Wang](https://md.research.elamur.ai/free/en/authors/hongning-wang/) - [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/) - [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/) - [Xuanyu Lei](https://md.research.elamur.ai/free/en/authors/xuanyu-lei/) - [Yongkang Huang](https://md.research.elamur.ai/free/en/authors/yongkang-huang/) ## 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 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/) ## Cited by Papers of our library cite their works 313 times (of the 141,840 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhexin-zhang/cited-by/). Updated 24 October 2026