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Roozbeh Yousefzadeh

Roozbeh Yousefzadeh has 4 papers in our library, in 2024–2025, most of them on Reasoning, Language models & pretraining; often with Azim Ospanov, Farzan Farnia, Haoxiong Liu.

4 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 5 · 34 works · 139 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 35 times in our library · ⭐ Paper Stars ranking: #10141

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

🎓Yale UniversityNew Haven · United States2019–2025 · 17 papersEmployment 2019–2022 · Postdoccurrent🏥VA Connecticut Healthcare SystemWest Haven · United States2021–2023 · 10 papers🎓University of Maryland, College ParkCollege Park · United States2019 · 2 papers
🏛️Huawei Hong Kong Research CenterHong Kong · China2023–2025Employment 2023–2025 · Researcher
🏢LightmatterBoston · United States2022–2023Employment 2022–2023 · Applied Scientist
🏛️University of Maryland at College ParkCollege Park · United States2015–2019Education 2015–2019 · PhD, Computer ScienceEducation 2015–2017 · M.S., Computer Science
🎓Johns Hopkins UniversityBaltimore · United States2014–2015Education 2014–2015 · Graduate Certificate, Civil Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 · 4 worksArtificial Intelligence · 4 worksComputational Theory and Mathematics · 4 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20253 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning (2025 · 17 citations)
    Automated theorem proving with LLMs usually relies on brute-force sampling: a model writes complete Lean proofs, sometimes thousands of times, and the verifier only reports pass or fail.
  2. Mathesis: Towards Formal Theorem Proving from Natural Languages (2025 · 9 citations)
    Current LLM theorem provers for Lean 4 assume their input is already a formal statement written by an expert. Real problems, however, are stated in natural language. Mathesis targets the full chain from informal problem to verified proof. Its pipeline has three stages:
  3. A Lean Dataset for International Math Olympiad: Small Steps towards Writing Math Proofs for Hard Problems (2024 · 7 citations)
    Formal theorem proving in Lean lacks high-quality reference material. Even miniF2F, the community's standard benchmark, has public formal proofs for only 6 of the 20 IMO problems in its test set. Without reference proofs, it is hard to tell where automated provers go wrong. The authors wrote original Lean 4 proofs…
  4. miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward (2025 · 4 citations)
    This NeurIPS 2025 paper examines miniF2F, a widely used benchmark of 488 competition-style math problems with paired natural-language and Lean statements.

 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 35 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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