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Yifan Yao

Yifan Yao has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Chenchen Zhang, Shuyue Guo, Yichi Zhang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 5 · 15 works · 1,208 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 212 times in our library · ⭐ Paper Stars ranking: #2169

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

🎓Drexel UniversityPhiladelphia · United States2024–2026 · 3 paperscurrent🎓Zhejiang Chinese Medical UniversityHangzhou · China2026 · 1 papercurrent🎓Peking UniversityBeijing · China2016–2021 · 4 papers🎓Nanjing Sport InstituteNanjing · China2025 · 2 papers

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

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

💡 Concepts 1Key ideas and methods explained on our concept pages.Large language models · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly (2023 · 1,186 citations)
    This survey asks how large language models relate to security and privacy. It looks at three things: how they can help defenders, how attackers can misuse them, and what weaknesses the models themselves carry. The authors gathered 281 papers and sorted them into three bins. "The Good" covers protective uses, "The…
  2. CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization (2026 · 12 citations)
    Turning informal math problems into Lean 4 theorem statements often produces code that compiles but does not mean what the original problem says.

 Co-authors here

6 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 212 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

Updated

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