--- title: "Yun Shen — author profile and papers — Elamur Research" description: "Yun Shen: 4 papers on Elamur Research (2023–2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yun-shen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yun-shen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yun Shen # Yun Shen Yun Shen has 4 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/); often with [Michael Backes](https://md.research.elamur.ai/free/en/authors/michael-backes/), [Yang Zhang](https://md.research.elamur.ai/free/en/authors/yang-zhang/), [Xinyue Shen](https://md.research.elamur.ai/free/en/authors/xinyue-shen/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5001294734) · [ORCID](https://orcid.org/0000-0002-5215-2976) · [**h-index 3**](https://openalex.org/authors/A5001294734) · [8 works](https://openalex.org/works?filter=author.id:A5001294734) · [245 citations](https://openalex.org/works?filter=author.id:A5001294734&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yun-shen/#papers) · [🔗 Cited 303 times in our library](https://md.research.elamur.ai/free/en/authors/yun-shen/cited-by/) · [⭐ Paper Stars ranking: #5117](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5117) 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=Yun+Shen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yun+Shen) · [dblp](https://dblp.org/search?q=Yun+Shen) · [ACL Anthology](https://aclanthology.org/search/?q=Yun+Shen) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [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 [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yun-shen/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yun-shen/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yun-shen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **["Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models](https://md.research.elamur.ai/free/en/papers/shen-2023-anything-now-characterizing-evaluating-wild/)** *(2023 · 329 citations)* Jailbreak prompts are inputs designed to trick safety-aligned LLMs into producing content their vendors prohibit. 2. **[Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification](https://md.research.elamur.ai/free/en/papers/zhang-2025-breaking-agents-compromising-autonomous-llm/)** *(2025 · 29 citations)* Most safety studies of LLM agents look for overtly harmful behaviour, such as stealing data or moving money. 3. **[The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-art-mis-alignment-how-fine/)** *(2026)* Safety alignment tools cut both ways. The fine-tuning that teaches an LLM to refuse harmful requests can also be used to remove those refusals, and the compromised models can then be shared on open hubs. The authors frame this as an attacker–defender game. They ask which fine-tuning methods most effectively misalign… 4. **[The Challenge of Identifying the Origin of Black-Box Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-challenge-identifying-origin-black-box/)** *(2026)* The paper tackles verifying whether a black-box LLM, such as a chat service or API reachable only through queries, was derived from a model the defender controls. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Michael Backes](https://md.research.elamur.ai/free/en/authors/michael-backes/) ×4 - [Yang Zhang](https://md.research.elamur.ai/free/en/authors/yang-zhang/) ×4 - [Xinyue Shen](https://md.research.elamur.ai/free/en/authors/xinyue-shen/) ×2 - [Ahmed Salem](https://md.research.elamur.ai/free/en/authors/ahmed-salem/) - [Boyang Zhang](https://md.research.elamur.ai/free/en/authors/boyang-zhang/) - [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/) - [Savvas Zannettou](https://md.research.elamur.ai/free/en/authors/savvas-zannettou/) - [Wei Dai](https://md.research.elamur.ai/free/en/authors/wei-dai/) - [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) - [Yixin Wu](https://md.research.elamur.ai/free/en/authors/yixin-wu/) - [Ziqing Yang](https://md.research.elamur.ai/free/en/authors/ziqing-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [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/) - [Workshop on Privacy in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/privatenlp/): [Workshop on Privacy in Natural Language Processing 2026](https://md.research.elamur.ai/free/en/venues/privatenlp/2026/) ## Cited by Papers of our library cite their works 303 times (of the 149,439 papers whose bibliographies we read); [101 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yun-shen/cited-by/). Updated 2 November 2026