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Yuxiao Ye

Yuxiao Ye has 2 papers in our library, in 2026, most of them on Reasoning, Legal AI; often with Hao Gu, Hao Wang, Hongming Piao.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 15 · 47 works · 872 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10791

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Nottingham Ningbo ChinaNingbo · China2025–2026 · 6 paperscurrent🎓Beijing Institute of TechnologyBeijing · China2022–2026 · 4 paperscurrent🎓Tsinghua UniversityBeijing · China2024–2026 · 3 paperscurrent🎓Nanjing University of Finance and EconomicsNanjing · China2026 · 1 papercurrent🏢SensetimeBeijing · China2026 · 1 papercurrent🎓Tianjin UniversityTianjin · China2020–2025 · 13 papers🎓Zhejiang UniversityHangzhou · China2015–2018 · 5 papers🎓University of CambridgeCambridge · United Kingdom2020–2021 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workLegal AI · 1 work

 Works by year

2020s

20262 papers

 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 (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 (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 ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
  2. CLASE: A Hybrid Method for Chinese Legalese Stylistic EvaluationLanguage Resources and Evaluation Conference (LREC)Yiran Rex Ma, Yuxiao Ye, Huiyuan Xie2026 · 1 citation
  3. LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYida Cai et al.2026

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated

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