--- title: "Yuanyuan Lei · University of Florida — author profile and papers" description: "Yuanyuan Lei, University of Florida: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/yuanyuan-lei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuanyuan-lei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuanyuan Lei # Yuanyuan Lei Yuanyuan Lei has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Seunghyun Park](https://md.research.elamur.ai/free/en/authors/seunghyun-park/), [Zixuan Wang](https://md.research.elamur.ai/free/en/authors/zixuan-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139776629) · [**h-index 0**](https://openalex.org/authors/A5139776629) · [13 works](https://openalex.org/works?filter=author.id:A5139776629) · [0 citations](https://openalex.org/works?filter=author.id:A5139776629&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuanyuan-lei/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11752](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11752) 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=Yuanyuan+Lei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuanyuan+Lei) · [dblp](https://dblp.org/search?q=Yuanyuan+Lei) · [ACL Anthology](https://aclanthology.org/search/?q=Yuanyuan+Lei) ## Affiliations [🎓**University of Florida** Gainesville · United States 2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-florida/) 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 5 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuanyuan-lei/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains](https://md.research.elamur.ai/free/en/papers/park-2026-where-reasoning-breaks-logic-aware/)** *(2026 · 1 citation)* LLMs often fail at multi-step deduction because one wrong transition can derail the rest of the chain. The authors locate much of this fragility in explicit logical connectives such as "therefore", "but" and "however". Their diagnostic study, mainly on ZebraLogic with a BBH deductive subset for token-swap tests… 2. **[Knowledge Vector of Logical Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-knowledge-vector-logical-reasoning-large/)** *(2026)* The paper asks whether the three classic forms of logical reasoning (deductive, inductive and abductive) correspond to linear directions in an LLM's activation space, and how these directions relate to each other. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Seunghyun Park](https://md.research.elamur.ai/free/en/authors/seunghyun-park/) - [Zixuan Wang](https://md.research.elamur.ai/free/en/authors/zixuan-wang/) ## 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/) - [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/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026