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Fuyuan Lyu

Fuyuan Lyu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Chen Ma, Qiyuan Zhang, Yufei Wang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 9 · 49 works · 255 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 89 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9362

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

🎓McGill UniversityMontreal · Canada2019–2026 · 40 papersEducation since 2019 · Ph.D. of Computer Science, School of Computer ScienceEmployment since 2019 · Research Assistant, School of Computer Sciencecurrent🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2021–2026 · 10 papersEducation since 2021current🏢Huawei TechnologiesShenzhen · China2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 2 worksPolitical Science and International Relations · 1 workEducation · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge (2025 · 13 citations)
    LLM-as-a-Judge systems often produce chain-of-thought (CoT) judgments that focus on only a few aspects of the responses, so their verdicts can be shallow or wrong.
  2. RubricBench: Aligning Model-Generated Rubrics with Human Standards (2026 · 3 citations)
    Reward models increasingly judge LLM outputs against rubrics, which are checklists of explicit criteria, to reduce shallow biases such as favoring longer or more polished answers.

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. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well? ↗arXiv:2503.24235 · no summary yetQiyuan Zhang et al.2025 · 79 citations
  2. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-JudgeAnnual Meeting of the Association for Computational Linguistics (ACL)Qiyuan Zhang, Yufei Wang, Yuxin Jiang, et al.2025 · 13 citations
  3. RubricBench: Aligning Model-Generated Rubrics with Human StandardsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Zhou, Qiyuan Zhang, Yufei Wang, et al.2026 · 3 citations

 Co-authors here

12 of 14 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 89 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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