--- title: "Boyi Wei · Princeton University — author profile and papers" description: "Boyi Wei, Princeton University: 3 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/boyi-wei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/boyi-wei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Boyi Wei # Boyi Wei Boyi Wei has 3 papers in our library, in 2024–2025, 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Kaixuan Huang](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/), [Tinghao Xie](https://md.research.elamur.ai/free/en/authors/tinghao-xie/), [Xiangyu Qi](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5101332910) · [**h-index 2**](https://openalex.org/authors/A5101332910) · [9 works](https://openalex.org/works?filter=author.id:A5101332910) · [59 citations](https://openalex.org/works?filter=author.id:A5101332910&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/boyi-wei/#papers) · [🔗 Cited 168 times in our library](https://md.research.elamur.ai/free/en/authors/boyi-wei/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6750](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6750) 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=Boyi+Wei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Boyi+Wei) · [dblp](https://dblp.org/search?q=Boyi+Wei) · [ACL Anthology](https://aclanthology.org/search/?q=Boyi+Wei) ## Affiliations [🎓**Princeton University** Princeton · United States 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/princeton-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/boyi-wei/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/boyi-wei/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal](https://md.research.elamur.ai/free/en/papers/xie-2024-sorry-bench-systematically-evaluating-large/)** *(2024 · 87 citations)* SORRY-Bench is a benchmark that measures how reliably aligned LLMs decline unsafe requests. The authors identify three weaknesses in earlier safety evaluations. Their category schemes are coarse and inconsistent, and they concentrate on a few topics such as fraud while barely testing others like self-harm. They… 2. **[Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications](https://md.research.elamur.ai/free/en/papers/wei-2024-assessing-brittleness-safety-alignment-pruning/)** *(2024 · 66 citations)* Aligned LLMs can be jailbroken or lose their safeguards even after harmless fine-tuning. The authors ask whether this fragility can be traced to specific parts of the weights. Using the Llama2-chat family, they attribute behaviour to individual neurons and to low-rank components of weight matrices. They use two… 3. **[Scaling Latent Reasoning via Looped Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2025-scaling-latent-reasoning-looped-language/)** *(2025 · 22 citations)* Most large language models learn to reason through explicit chain-of-thought added after pre-training. This lengthens outputs and makes little use of pre-training data. The authors propose Ouro, a family of Looped Language Models (LoopLM) in which a stack of weight-tied layers is applied several times, so hidden… ## All works 4 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. [**SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal arXiv:2406.14598**Tinghao Xie, Xiangyu Qi, Yi Zeng, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-sorry-bench-systematically-evaluating-large/) 2. [**Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications arXiv:2402.05162**Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/wei-2024-assessing-brittleness-safety-alignment-pruning/) 3. [**Scaling Latent Reasoning via Looped Language Models arXiv:2510.25741**Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-scaling-latent-reasoning-looped-language/) 4. **[AI Risk Management Should Incorporate Both Safety and Security ↗](https://arxiv.org/abs/2405.19524) arXiv (Cornell University) · no summary yet**Xiangyu Qi et al.*2024 · 3 citations* ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Kaixuan Huang](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/) ×2 - [Tinghao Xie](https://md.research.elamur.ai/free/en/authors/tinghao-xie/) ×2 - [Xiangyu Qi](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/) ×2 - [Yangsibo Huang](https://md.research.elamur.ai/free/en/authors/yangsibo-huang/) ×2 - [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/) - [Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/) - [Fan Yin](https://md.research.elamur.ai/free/en/authors/fan-yin/) - [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/) - [Jiajun Shi](https://md.research.elamur.ai/free/en/authors/jiajun-shi/) - [Lu Li](https://md.research.elamur.ai/free/en/authors/lu-li/) - [Luxi He](https://md.research.elamur.ai/free/en/authors/luxi-he/) - [Mengdi Wang](https://md.research.elamur.ai/free/en/authors/mengdi-wang/) ## Cited by Papers of our library cite their works 168 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/boyi-wei/cited-by/). Updated 2 November 2026