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Jeremy Avigad

Jeremy Avigad has 4 papers in our library, in 2023–2025, most of them on Reasoning; often with Joshua Clune, Sean Welleck, Albert Q. Jiang.

4 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 28 · 193 works · 3,227 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 141 times in our library · ⭐ Paper Stars ranking: #7289

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics (2023 · 142 citations)
    Autoformalization means converting informal mathematics into statements a proof assistant can check. Progress has been limited by the scarcity of paired informal and formal data. Existing prover benchmarks also lean on competition problems that require only a small set of elementary facts. To address this, the…
  2. Duper: A Proof-Producing Superposition Theorem Prover for Dependent Type Theory (2024 · 8 citations)
    Lean has no hammer, i.e. a tool that sends goals to external automatic provers and then rebuilds checkable proofs from their output. Building one for a dependently typed foundation is difficult. The authors present Duper, a superposition-based prover written in Lean that outputs proof terms directly in Lean's…
  3. Premise Selection for a Lean Hammer (2025 · 5 citations)
    Lean users often have to name, by hand, the exact lemmas that justify each small proof step, drawn from libraries with hundreds of thousands of facts.
  4. ImProver: Agent-Based Automated Proof Optimization (2024 · 5 citations)
    A Lean proof that compiles may still fall short: it can be verbose, hard to follow, or badly structured for library style rules or for use as machine-learning training data.

 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 141 times (of the 149,439 papers whose bibliographies we read); 68 citing papers with a page here →.

Updated

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