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Fangkai Yang

Fangkai Yang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Dongmei Zhang, Lu Wang, Pu Zhao.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 16 · 117 works · 1,016 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11503

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

🏢Microsoft Research AsiaBeijing · China2021–2026 · 11 papersEmploymentcurrent🎓Peking UniversityBeijing · China2025–2026 · 3 paperscurrent🏢MicrosoftRedmond · United States2023–2026 · 32 papers🎓KTH Royal Institute of TechnologyStockholm · Sweden2017–2025 · 20 papersEmployment🎓The University of Texas at AustinAustin · United States2009–2014 · 14 papers🏢NvidiaSanta Clara · United States2019–2021 · 8 papers🎓University of Science and Technology of ChinaHefei · China2007–2009 · 4 papers🏢SchlumbergerHouston · United States2015–2017 · 3 papers🎓Zhejiang UniversityHangzhou · China2026 · 2 papers🎓Chinese University of Hong KongHong Kong · China2023 · 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository (2026 · 1 citation)
    Most code-generation benchmarks test single functions or classes, or ask models to edit existing codebases.
  2. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs (2026)
    Common test-time scaling strategies, such as majority voting and Best-of-N, can only pick from the candidates a model produces.

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. Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetXing Zhang et al.2025 · 4 citations
  2. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to RepositoryAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Peng, Xin Yin, Pu Zhao, et al.2026 · 1 citation
  3. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMsFindings of the Association for Computational LinguisticsQibin Wang, Pu Zhao, Shaohan Huang, et al.2026

 Co-authors here

9 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 2 times (of the 149,439 papers whose bibliographies we read).

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