--- title: "Xuezhi Cao — author profile and papers — Elamur Research" description: "Xuezhi Cao, Shanghai Jiao Tong University: 3 papers on Elamur Research (2023–2026), h-index 12 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/xuezhi-cao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuezhi-cao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuezhi Cao # Xuezhi Cao Xuezhi Cao has 3 papers in our library, in 2023–2026, 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 [Peng Ding](https://md.research.elamur.ai/free/en/authors/peng-ding/), [Jiaming Wang](https://md.research.elamur.ai/free/en/authors/jiaming-wang/), [Jun Kuang](https://md.research.elamur.ai/free/en/authors/jun-kuang/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5108060642) · [ORCID](https://orcid.org/0000-0002-7044-1341) · [Wikidata](https://www.wikidata.org/wiki/Q131011944) · [**h-index 12**](https://openalex.org/authors/A5108060642) · [53 works](https://openalex.org/works?filter=author.id:A5108060642) · [828 citations](https://openalex.org/works?filter=author.id:A5108060642&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xuezhi-cao/#papers) · [🔗 Cited 116 times in our library](https://md.research.elamur.ai/free/en/authors/xuezhi-cao/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8208](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8208) 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=Xuezhi+Cao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuezhi+Cao) · [dblp](https://dblp.org/search?q=Xuezhi+Cao) · [ACL Anthology](https://aclanthology.org/search/?q=Xuezhi+Cao) ## Affiliations [🏢**Meituan** Beijing · China 2020–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/companies/meituan/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2012–2026 · 17 papersEducation since 2013 · Ph.D., Apex Data & Knowledge Management Lab*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) 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 5 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/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xuezhi-cao/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xuezhi-cao/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily](https://md.research.elamur.ai/free/en/papers/ding-2023-wolf-sheep-s-clothing-generalized/)** *(2023 · 85 citations)* Safety-aligned LLMs can still be manipulated into giving harmful answers through jailbreak prompts. Existing attacks either depend on laborious hand-written templates (e.g., DAN) or on slow gradient search over white-box models (e.g., GCG). GCG produces nonsensical suffixes that are easy to filter and work poorly on… 2. **[Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following Capability](https://md.research.elamur.ai/free/en/papers/wang-2026-meeseeks-feedback-driven-iterative-self/)** *(2026 · 1 citation)* Large language models often fail to satisfy every requirement in prompts that contain many constraints. Meeseeks is a benchmark that measures how far models can improve when they get repeated, targeted feedback. It works in cycles. The tested model answers a prompt, and each constraint is checked automatically. The… 3. **[SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures](https://md.research.elamur.ai/free/en/papers/wang-2026-sop-maze-evaluating-large-language/)** *(2026)* Most instruction-following benchmarks do not test whether LLMs can carry out the long, branching standard operating procedures (SOPs) used in real business workflows, where user input is often noisy. ## All works 7 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. **[Table Fact Verification with Structure-Aware Transformer ↗](https://aclanthology.org/2020.emnlp-main.126/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Hongzhi Zhang et al.*2020 · 88 citations* 2. [**A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily arXiv:2311.08268**Peng Ding, Jun Kuang, Dan Ma, et al.*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/ding-2023-wolf-sheep-s-clothing-generalized/) 3. **[A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily ↗](https://aclanthology.org/2024.naacl-long.118/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Peng Ding et al.*2024 · 55 citations* 4. **[A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks ↗](https://doi.org/10.1109/sp.2018.00034) Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · no summary yet**Huichen Li et al.*2018 · 55 citations* 5. **[Combining Factorization Model and Additive Forest for Collaborative Followee Recommendation ↗](https://openalex.org/W2316644690) no summary yet**Tianqi Chen et al.*2012 · 44 citations* 6. **[Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following Capability](https://md.research.elamur.ai/free/en/papers/wang-2026-meeseeks-feedback-driven-iterative-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Wang, Yunke Zhao, Peng Ding, et al.*2026 · 1 citation* 7. **[SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures](https://md.research.elamur.ai/free/en/papers/wang-2026-sop-maze-evaluating-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Wang, Zhe Tang, Zehao Jin, et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Peng Ding](https://md.research.elamur.ai/free/en/authors/peng-ding/) ×3 - [Jiaming Wang](https://md.research.elamur.ai/free/en/authors/jiaming-wang/) ×2 - [Jun Kuang](https://md.research.elamur.ai/free/en/authors/jun-kuang/) ×2 - [Xiaoyu Li](https://md.research.elamur.ai/free/en/authors/xiaoyu-li/) ×2 - [Yilin Jin](https://md.research.elamur.ai/free/en/authors/yilin-jin/) ×2 - [Zhe Tang](https://md.research.elamur.ai/free/en/authors/zhe-tang/) ×2 - [Jiajun Chen](https://md.research.elamur.ai/free/en/authors/jiajun-chen/) - [Shujian Huang](https://md.research.elamur.ai/free/en/authors/shujian-huang/) - [ZongYu Wang](https://md.research.elamur.ai/free/en/authors/zongyu-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy - Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) - Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 116 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuezhi-cao/cited-by/). Updated 2 November 2026