---
title: "Etai Littwin · Harvard University — author profile and papers"
description: "Etai Littwin, Harvard University: 2 papers on Elamur Research (2023–2025), h-index 7 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/etai-littwin/"
---
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# Etai Littwin

Etai Littwin has 2 papers in our library, in 2023–2025, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Hattie Zhou](https://md.research.elamur.ai/free/en/authors/hattie-zhou/), [Samy Bengio](https://md.research.elamur.ai/free/en/authors/samy-bengio/).

2 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5049929304) · [ORCID](https://orcid.org/0009-0001-7396-4658) · [**h-index 7**](https://openalex.org/authors/A5049929304) · [36 works](https://openalex.org/works?filter=author.id:A5049929304) · [110 citations](https://openalex.org/works?filter=author.id:A5049929304&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/etai-littwin/#papers) · [🔗 Cited 85 times in our library](https://md.research.elamur.ai/free/en/authors/etai-littwin/cited-by/) · [⭐ Paper Stars ranking: #8069](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8069)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Etai+Littwin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Etai+Littwin) · [dblp](https://dblp.org/search?q=Etai+Littwin) · [ACL Anthology](https://aclanthology.org/search/?q=Etai+Littwin)

## Affiliations

[🎓**Carnegie Mellon University** Pittsburgh · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Harvard University** Cambridge · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**Tel Aviv University** Tel Aviv · Israel 2015–2018 · 5 papers](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/) · [🏢**Apple** Cupertino · United States 2021–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/apple/) · [🏢**Apple** Herzliya · Israel 2020 · 3 papers](https://md.research.elamur.ai/free/en/companies/apple-israel/)

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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/etai-littwin/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/etai-littwin/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[What Algorithms can Transformers Learn? A Study in Length Generalization](https://md.research.elamur.ai/free/en/papers/zhou-2023-algorithms-transformers-learn-study-length/)** *(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](https://md.research.elamur.ai/free/en/papers/busbridge-2025-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.

- [Hattie Zhou](https://md.research.elamur.ai/free/en/authors/hattie-zhou/)
- [Samy Bengio](https://md.research.elamur.ai/free/en/authors/samy-bengio/)

## 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 →](https://md.research.elamur.ai/free/en/authors/etai-littwin/cited-by/).

Updated 2 November 2026
