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Szymon Tworkowski

Szymon Tworkowski has 2 papers in our library, in 2022–2023, most of them on Reasoning, Language models & pretraining; often with Albert Q. Jiang, Piotr Miłoś, Yuhuai Wu.

2 papers in our library · 2022–2023

OpenAlex · h-index 5 · 14 works · 90 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 111 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8092

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

🎓University of WarsawWarsaw · Poland2022–2025 · 5 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 · 2 worksArtificial Intelligence · 2 worksComputational Theory and Mathematics · 2 works

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

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers (2022 · 79 citations)
    Language-model provers for interactive theorem provers (ITPs) are weak at premise selection, which means finding the few useful lemmas in libraries holding hundreds of thousands of facts.
  2. Magnushammer: A Transformer-Based Approach to Premise Selection (2023 · 35 citations)
    Premise selection means picking, from a large library of proven facts, the few that help close the current goal in a formal proof.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Thor: Wielding Hammers to Integrate Language Models and Automated Theorem ProversarXiv:2205.10893Albert Q. Jiang, Wenda Li, Szymon Tworkowski, et al.2022 · 79 citations
  2. Hierarchical Transformers Are More Efficient Language Models ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetPiotr Nawrot et al.2022 · 60 citations
  3. Magnushammer: A Transformer-Based Approach to Premise SelectionarXiv:2303.04488Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, et al.2023 · 35 citations

 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 111 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated

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