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Azim Ospanov

Azim Ospanov has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Roozbeh Yousefzadeh, Farzan Farnia.

3 papers in our library · 2024–2025

OpenAlex · h-index 2 · 15,760 works · 7 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 26 times in our library · ⭐ Paper Stars ranking: #10556

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

🎓Chinese University of Hong KongHong Kong · China2024–2026 · 15,756 paperscurrent

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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksComputational Theory and Mathematics · 3 works

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

 Works by year

2020s

20252 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. 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…
  3. 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

2 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 26 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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