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Etai Littwin

Etai Littwin has 2 papers in our library, in 2023–2025, most of them on Efficient models & compression; often with Hattie Zhou, Samy Bengio.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 7 · 36 works · 110 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 85 times in our library · ⭐ Paper Stars ranking: #8069

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

🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 1 papercurrent🎓Harvard UniversityCambridge · United States2026 · 1 papercurrent🎓Tel Aviv UniversityTel Aviv · Israel2015–2018 · 5 papers🏢AppleCupertino · United States2021–2025 · 4 papers🏢AppleHerzliya · Israel2020 · 3 papers

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputational Theory and Mathematics · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Efficient models & compression · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Scaling laws · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. What Algorithms can Transformers Learn? A Study in Length Generalization (2023 · 67 citations)
    Transformers trained from scratch often fail to extend algorithmic skills to inputs longer than those seen in training, yet occasionally succeed.
  2. Distillation Scaling Laws (2025 · 26 citations)
    Small language models are cheap to serve, but making them strong through heavy overtraining needs trillions of tokens.

 Co-authors here

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

 Cited by

Papers of our library cite their works 85 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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