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Kate Baumli

Kate Baumli has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Avi Singh, Aviral Kumar, Feryal Behbahani.

2 papers in our library · 2023–2024

OpenAlex · h-index 6 · 14 works · 1,208 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3,686 times in our library · ⭐ Paper Stars ranking: #6797

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

🏢Google DeepMindLondon · United Kingdom2020–2021 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksLanguage and Linguistics · 1 workArts and Humanities · 1 workMathematics · 1 work

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

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Training Language Models to Self-Correct via Reinforcement Learning (2024 · 159 citations)
    Large language models rarely fix their own mistakes when they get no outside feedback, a setting called intrinsic self-correction.
  2. Human-Timescale Adaptation in an Open-Ended Task Space (2023 · 36 citations)
    Large pretrained models adapt quickly to new tasks in language and vision, but reinforcement learning has had no comparable general-purpose learner.

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 3,686 times (of the 149,439 papers whose bibliographies we read); 936 citing papers with a page here →.

Updated

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