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Alex Tamkin

Alex Tamkin has 2 papers in our library, in 2021–2023, most of them on Language models & pretraining; often with Benoit Steiner, Cem Anil, Deep Ganguli.

2 papers in our library · 2021–2023

OpenAlex · ORCID · Wikidata · h-index 13 · 45 works · 2,838 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,560 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #5630

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 States2018–2033 · 19 papersEducation 2018–2023 · PhD, Computer ScienceEmployment 2018–2033 · PhD Student, Computer Science🏢AnthropicSan Francisco · United States2023–2024 · 2 papersEmployment🎓University of OxfordOxford · United Kingdom2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20231 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models (2021 · 185 citations)
    This document is not an experimental study. It is a structured report of a closed meeting on 14 October 2020, where researchers from OpenAI, Stanford HAI and other universities discussed open questions raised by GPT-3. Attendees came from computer science, linguistics, philosophy, political science, cyber policy and…
  2. Studying Large Language Model Generalization with Influence Functions (2023 · 105 citations)
    Knowing which training examples drive a given behavior in a large language model could help researchers anticipate and reduce its risks.

All works

10 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. Understanding the Capabilities, Limitations, and Societal Impact of Large Language ModelsarXiv:2102.02503Alex Tamkin, Miles Brundage, Jack Clark, et al.2021 · 185 citations
  2. Many-shot Jailbreaking ↗neural information processing systems · no summary yetCem Anil et al.2024 · 109 citations
  3. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  4. Evaluating and Mitigating Discrimination in Language Model Decisions ↗arXiv (Cornell University) · no summary yetAlex Tamkin et al.2023 · 49 citations
  5. Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models ↗arXiv (Cornell University) · no summary yetCarson Denison et al.2024 · 46 citations
  6. Clio: Privacy-Preserving Insights into Real-World AI Use ↗arXiv (Cornell University) · no summary yetAlex Tamkin et al.2024 · 36 citations
  7. Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations ↗arXiv (Cornell University) · no summary yetKunal Handa et al.2025 · 30 citations
  8. Language Through a Prism: A Spectral Approach for Multiscale Language Representations ↗arXiv (Cornell University) · no summary yetAlex Tamkin, Dan Jurafsky, Noah D. Goodman2020 · 22 citations
  9. Recursive Routing Networks: Learning to Compose Modules for Language Understanding ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetIgnacio Cases et al.2019 · 19 citations
  10. Bayesian Preference Elicitation with Language Models ↗arXiv:2403.05534 · no summary yetKunal Handa et al.2024 · 8 citations

 Co-authors here

11 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 1,560 times (of the 149,439 papers whose bibliographies we read); 365 citing papers with a page here →.

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