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Chenyuan Yang

Chenyuan Yang has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Caishuang Huang, Fan Yang, Junjie Ye.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 10 · 15 works · 871 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #10371

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

🎓Fudan UniversityShanghai · China2025–2026 · 2 paperscurrent🏢MicrosoftRedmond · United States2026 · 1 papercurrent🎓University of Illinois Urbana-ChampaignUrbana · United States2022–2025 · 12 papers🎓Nanjing UniversityNanjing · China2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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).Computer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 1 workSoftware · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AutoVerus: Automated Proof Generation for Rust Code (2024 · 28 citations)
    Using LLMs to produce machine-checkable correctness proofs still lags far behind using them to write code.
  2. MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models (2026 · 4 citations)
    Most instruction-following benchmarks for LLMs vary only the type of constraint. They say little about how constraints are phrased or how hard their combinations are, and they offer little insight into how to improve models. MulDimIF addresses this with a framework that describes each instruction along three axes…

 Co-authors here

12 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 12 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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