--- title: "Yuxiao Ye — author profile and papers — Elamur Research" description: "Yuxiao Ye, Beijing Institute of Technology: 2 papers on Elamur Research (2026), h-index 15 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yuxiao-ye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuxiao-ye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuxiao Ye # Yuxiao Ye Yuxiao Ye has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Hao Gu](https://md.research.elamur.ai/free/en/authors/hao-gu/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/), [Hongming Piao](https://md.research.elamur.ai/free/en/authors/hongming-piao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5072799796) · [ORCID](https://orcid.org/0000-0003-4891-7240) · [**h-index 15**](https://openalex.org/authors/A5072799796) · [47 works](https://openalex.org/works?filter=author.id:A5072799796) · [872 citations](https://openalex.org/works?filter=author.id:A5072799796&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuxiao-ye/#papers) · 🔗 Cited 4 times in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10791](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10791) 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=Yuxiao+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuxiao+Ye) · [dblp](https://dblp.org/search?q=Yuxiao+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Yuxiao+Ye) ## Affiliations [🎓**University of Nottingham Ningbo China** Ningbo · China 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-nottingham-ningbo-china/) · [🎓**Beijing Institute of Technology** Beijing · China 2022–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**Tsinghua University** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Nanjing University of Finance and Economics** Nanjing · China 2026 · 1 paper*current*](https://ror.org/031y8am81) · [🏢**Sensetime** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/sensetime/) · [🎓**Tianjin University** Tianjin · China 2020–2025 · 13 papers](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Zhejiang University** Hangzhou · China 2015–2018 · 5 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 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/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuxiao-ye/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-while-staying-curious-entropy/)** *(2026 · 3 citations)* Large reasoning models are usually post-trained by supervised fine-tuning followed by reinforcement learning (SFT-then-RL). 2. **[CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation](https://md.research.elamur.ai/free/en/papers/ma-2026-clase-hybrid-method-chinese-legalese/)** *(2026 · 1 citation)* LLMs can write Chinese legal text that is factually sound but stylistically off. It may be too colloquial or use non-standard terms, or it may overcorrect with verbose, archaic phrasing and even invented legal concepts. Expert rubrics for these tacit norms are hard to write. Reference-based metrics blur meaning with… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-while-staying-curious-entropy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wang, Hao Gu, Hongming Piao, et al.*2026 · 3 citations* 2. **[CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation](https://md.research.elamur.ai/free/en/papers/ma-2026-clase-hybrid-method-chinese-legalese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yiran Rex Ma, Yuxiao Ye, Huiyuan Xie*2026 · 1 citation* 3. **[LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases ↗](https://aclanthology.org/2026.acl-long.980/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yida Cai et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Hao Gu](https://md.research.elamur.ai/free/en/authors/hao-gu/) - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) - [Hongming Piao](https://md.research.elamur.ai/free/en/authors/hongming-piao/) - [Huiyuan Xie](https://md.research.elamur.ai/free/en/authors/huiyuan-xie/) - [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/) - [Xiangyu Yue](https://md.research.elamur.ai/free/en/authors/xiangyu-yue/) - [Yike Guo](https://md.research.elamur.ai/free/en/authors/yike-guo/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026