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Gabriel Poesia

Gabriel Poesia has 2 papers in our library, in 2023, most of them on Language models & pretraining, Reasoning; often with Noah D. Goodman, Eric Zelikman, Joy He-Yueya.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 7 · 39 works · 173 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 206 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #7374

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

🎓Stanford UniversityStanford · United States2019–2026 · 21 papersEmployment 2019–2025 · PhD Student, Computer Sciencecurrent🎓Harvard UniversityCambridge · United States2025–2026 · 3 paperscurrent🎓Universidade Federal de Minas GeraisBelo Horizonte · Brazil2014–2017 · 2 papers🏥Ragon Institute of MGH, MIT and HarvardCambridge · United StatesEmployment · Research Fellow, Kempner Institute

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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

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

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Solving Math Word Problems by Combining Language Models With Symbolic Solvers (2023 · 77 citations)
    The paper addresses a weakness in tool-augmented LLM approaches to math word problems. Methods like PAL turn a problem into a Python program, which works well for step-by-step procedures. It is awkward, however, when a solution is better stated as relations among unknown quantities. The authors instead have an LLM…
  2. Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions (2023 · 56 citations)
    Large language models that write code tend to break down on long, multi-step tasks, because a single wrong token can ruin an entire program.

All works

8 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. Solving Math Word Problems by Combining Language Models With Symbolic SolversarXiv:2304.09102Joy He-Yueya, Gabriel Poesia, Rose E. Wang, et al.2023 · 77 citations
  2. Parsel: Algorithmic Reasoning with Language Models by Composing DecompositionsConference on Neural Information Processing Systems (NeurIPS)Eric Zelikman, Qian Huang, Gabriel Poesia, et al.2023 · 56 citations
  3. Formal Mathematical Reasoning: A New Frontier in AI ↗arXiv:2412.16075 · no summary yetKaiyu Yang et al.2024 · 49 citations
  4. Learning Formal Mathematics From Intrinsic Motivation ↗arXiv:2407.00695 · no summary yetGabriel Poesia et al.2024 · 23 citations
  5. Certified Deductive Reasoning with Language Models ↗arXiv:2306.04031 · no summary yetGabriel Poesia et al.2023 · 23 citations
  6. Peano: Learning Formal Mathematical Reasoning ↗arXiv:2211.15864 · no summary yetGabriel Poesia, Noah D. Goodman2022 · 19 citations
  7. h4rm3l: A language for Composable Jailbreak Attack Synthesis ↗arXiv (Cornell University) · no summary yetMoussa Doumbouya et al.2024 · 9 citations
  8. Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification ↗Communications of the ACM · no summary yetKaiyu Yang et al.2026 · 1 citation

 Co-authors here

5 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 206 times (of the 149,439 papers whose bibliographies we read); 44 citing papers with a page here →.

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