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Adam K. Lerer

Adam K. Lerer has 3 papers in our library, in 2019–2024, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Aleksander Mądry, OpenAI, Adam Paszke.

3 papers in our library · 2019–2024

OpenAlex · ORCID · Wikidata · h-index 25 · 63 works · 28,815 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 7,965 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #110

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

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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. PyTorch: An Imperative Style, High-Performance Deep Learning Library (2019 · 18,645 citations)
    Older deep learning frameworks usually made a trade: static dataflow graphs gave speed and global optimization but were hard to debug and inflexible, while eager define-by-run tools were either slow or tied to less expressive languages.
  2. GPT-4o System Card (2024 · 2,304 citations)
    The GPT-4o System Card explains how OpenAI assessed and reduced the risks of GPT-4o. GPT-4o is a single end-to-end network that accepts text, audio, image and video and can produce text, audio and image output. Because the model holds real-time spoken conversations, the report focuses on hazards specific to…
  3. OpenAI o1 System Card (2024 · 1,110 citations)
    This system card describes how OpenAI evaluated the safety of its o1 reasoning models before release: o1 and o1-mini, a faster variant that is strong at coding.

All works

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

  1. PyTorch: An Imperative Style, High-Performance Deep Learning LibraryarXiv:1912.01703Adam Paszke, Sam Gross, Francisco Massa, et al.2019 · 18,645 citations
  2. Automatic differentiation in PyTorch ↗no summary yetAdam Paszke et al.2017 · 10,764 citations
  3. GPT-4o System CardarXiv:2410.21276OpenAI, Aaron Hurst, Adam Lerer, et al.2024 · 2,304 citations
  4. OpenAI o1 System CardarXiv:2412.16720OpenAI, Aaron Jaech, Adam Kalai, et al.2024 · 1,110 citations
  5. 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
  6. A MultiPath Network for Object Detection ↗British Machine Vision Conference (BMVC) · no summary yetSergey Zagoruyko et al.2016 · 240 citations
  7. CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetEllen D. Zhong et al.2021 · 59 citations

 Co-authors here

12 of 18 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 7,965 times (of the 149,439 papers whose bibliographies we read); 1,024 citing papers with a page here →.

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