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Alexander Wei

Alexander Wei has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Daniel Selsam, David Dohan, Francis Song.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 7 · 17 works · 541 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 626 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3262

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

🎓United States Military AcademyWest Point · United States2024 · 2 paperscurrent🔬Army Cyber Institute at West PointWest Point · United States2024 · 1 papercurrent🏛️United States ArmyArlington · United States2024 · 1 papercurrent🎓University of California, BerkeleyBerkeley · United States2020–2023 · 8 papersEducation since 2020 · PhD, Computer Science🎓Harvard UniversityCambridge · United States2016–2020 · 3 papersEducation 2016–2020 · A.B., Computer Science and MathematicsEducation 2019–2020 · S.M., Computer Science

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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workComputer Science Applications · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Jailbroken: How Does LLM Safety Training Fail? (2023 · 688 citations)
    Chat models that have gone through safety tuning, such as GPT-4 and Claude v1.3, can still be pushed into producing content they were trained to refuse.
  2. Competitive Programming with Large Reasoning Models (2025 · 68 citations)
    This OpenAI report asks whether LLM performance in competitive programming improves more from hand-built, task-specific inference pipelines or from scaling general reinforcement learning.

All works

4 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. Jailbroken: How Does LLM Safety Training Fail?Conference on Neural Information Processing Systems (NeurIPS)Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 688 citations
  2. Human-level play in the game of Diplomacy by combining language models with strategic reasoning ↗Science · no summary yetAnton Bakhtin et al.2022 · 328 citations
  3. Competitive Programming with Large Reasoning ModelsarXiv:2502.06807OpenAI: Ahmed El-Kishky, Alexander Wei, Andre Saraiva, et al.2025 · 68 citations
  4. Learning Equilibria in Matching Markets with Bandit Feedback ↗Journal of the ACM · no summary yetMeena Jagadeesan et al.2021 · 5 citations

 Co-authors here

8 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 626 times (of the 149,439 papers whose bibliographies we read); 207 citing papers with a page here →.

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