Elamur Research⌕
☰
home / authors / Yuxuan Zhou

Yuxuan Zhou

Yuxuan Zhou has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Text generation, Legal AI; often with Bingxuan Li, Mario Fritz, Siyuan Wang.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 6 · 33 works · 142 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 99 times in our library · ⭐ Paper Stars ranking: #7394

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

🎓Xinjiang Normal UniversityÜrümqi · China2023–2026 · 5 paperscurrent🔬Shenzhen International Quantum AcademyShenzhen · China2025–2026 · 3 paperscurrent🎓Beijing Jiaotong UniversityBeijing · China2025–2026 · 2 paperscurrent🎓Tsinghua UniversityBeijing · China2021–2025 · 9 papers🎓Fudan UniversityShanghai · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workLaw · 1 workPolitical Science and International Relations · 1 work

🧭 Topics 3Research subjects and languages the work is about.Legal AI · 1 workLanguage models & pretraining · 1 workText generation · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services (2023 · 121 citations)
    DISC-LawLLM targets a gap in Chinese legal AI. Earlier legal LLMs mostly handled plain question answering, but real legal work needs structured legal reasoning and accurate use of statutes that change over time. The authors built DISC-Law-SFT, a supervised fine-tuning collection of about 403K instructions. They drew…
  2. Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation (2025 · 11 citations)
    Truncation sampling methods for LLM decoding are usually compared on open-ended generation benchmarks. Those comparisons are fragile for two reasons. First, outcomes depend heavily on hand-tuned parameters, which are typically swept over a coarse grid. Second, the reference texts are limited. The authors propose an…

 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 99 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yuxuan-zhou/