---
title: "Samy Jelassi · Harvard University — author profile and papers"
description: "Samy Jelassi, Harvard University: 3 papers on Elamur Research (2023–2025), h-index 7 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/samy-jelassi/"
---
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# Samy Jelassi

Samy Jelassi has 3 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Eran Malach](https://md.research.elamur.ai/free/en/authors/eran-malach/), [Sham M. Kakade](https://md.research.elamur.ai/free/en/authors/sham-m-kakade/), [David Brandfonbrener](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/).

3 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5048166612) · [**h-index 7**](https://openalex.org/authors/A5048166612) · [34 works](https://openalex.org/works?filter=author.id:A5048166612) · [154 citations](https://openalex.org/works?filter=author.id:A5048166612&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/samy-jelassi/#papers) · [🔗 Cited 148 times in our library](https://md.research.elamur.ai/free/en/authors/samy-jelassi/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7967](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7967)

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=Samy+Jelassi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Samy+Jelassi) · [dblp](https://dblp.org/search?q=Samy+Jelassi) · [ACL Anthology](https://aclanthology.org/search/?q=Samy+Jelassi)

## Affiliations

[🎓**Harvard University** Cambridge · United States 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🏢**Microsoft Research New York City** New York · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-new-york-city/) · [🎓**Princeton University** Princeton · United States 2018–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**Courant Institute of Mathematical Sciences** New York · United States 2019–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/courant-institute-of-mathematical-sciences/) · [🎓**New York University** New York · United States 2019–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](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.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/samy-jelassi/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/samy-jelassi/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/samy-jelassi/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Repeat After Me: Transformers are Better than State Space Models at Copying](https://md.research.elamur.ai/free/en/papers/jelassi-2024-repeat-after-me-transformers-better/)** *(2024 · 57 citations)* The paper asks what models with a constant-size memory give up in exchange for cheap inference. The authors call this family "generalized state space models" (GSSMs). It includes S4, Mamba, LSTMs and linear-attention variants. The authors find that the main loss is the ability to reproduce or retrieve arbitrary parts…
2. **[Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining](https://md.research.elamur.ai/free/en/papers/zhao-2025-echo-chamber-rl-post-training/)** *(2025 · 34 citations)* The paper asks why reinforcement-learning fine-tuning improves mathematical reasoning in language models. Pretraining data for popular base models such as Qwen is usually undisclosed, which makes it hard to separate the effect of RL from the effect of pretraining. To get around this, the authors train decoder-only…
3. **[Length Generalization in Arithmetic Transformers](https://md.research.elamur.ai/free/en/papers/jelassi-2023-length-generalization-arithmetic-transformers/)** *(2023 · 29 citations)* The paper asks whether transformers can learn integer arithmetic on short operands and still be correct on much longer ones.

## All works

10 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. [**Repeat After Me: Transformers are Better than State Space Models at Copying arXiv:2402.01032**Samy Jelassi, David Brandfonbrener, Sham M. Kakade, et al.*2024 · 57 citations*](https://md.research.elamur.ai/free/en/papers/jelassi-2024-repeat-after-me-transformers-better/)
2. [**Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining arXiv:2504.07912**Rosie Zhao, Alexandru Meterez, Sham Kakade, et al.*2025 · 34 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2025-echo-chamber-rl-post-training/)
3. [**Length Generalization in Arithmetic Transformers arXiv:2306.15400**Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, et al.*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/jelassi-2023-length-generalization-arithmetic-transformers/)
4. **[Vision Transformers Provably Learn Spatial Structure ↗](https://doi.org/10.52202/068431-2741) neural information processing systems · no summary yet**Samy Jelassi, Michael Sander, Yuanzhi Li*2022 · 23 citations*
5. **[LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks ↗](https://aclanthology.org/2025.coling-industry.55/) Proceedings of the 31st International Conference on Computational Linguistics: Industry Track · no summary yet**Akshara Prabhakar et al.*2025 · 14 citations*
6. **[Towards understanding how momentum improves generalization in deep learning ↗](https://arxiv.org/abs/2207.05931) arXiv (Cornell University) · no summary yet**Samy Jelassi, Yuanzhi Li*2022 · 11 citations*
7. **[Mixture of Parrots: Experts improve memorization more than reasoning ↗](https://arxiv.org/abs/2410.19034) arXiv (Cornell University) · no summary yet**Samy Jelassi et al.*2024 · 4 citations*
8. **[Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models ↗](https://arxiv.org/abs/2603.12248) arXiv (Cornell University) · no summary yet**Samy Jelassi et al.*2026 · 1 citation*
9. **[How Does Overparameterization Affect Features? ↗](https://arxiv.org/abs/2407.00968) arXiv (Cornell University) · no summary yet**Ahmet Cagri Duzgun, Samy Jelassi, Yuanzhi Li*2024*
10. **[Dissecting adaptive methods in GANs ↗](https://arxiv.org/abs/2210.04319) arXiv (Cornell University) · no summary yet**Samy Jelassi et al.*2022*

## Co-authors here

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

- [Eran Malach](https://md.research.elamur.ai/free/en/authors/eran-malach/) ×2
- [Sham M. Kakade](https://md.research.elamur.ai/free/en/authors/sham-m-kakade/) ×2
- [David Brandfonbrener](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/)
- [François Charton](https://md.research.elamur.ai/free/en/authors/francois-charton/)
- [Stéphane d'Ascoli](https://md.research.elamur.ai/free/en/authors/stephane-d-ascoli/)
- [Yuanzhi Li](https://md.research.elamur.ai/free/en/authors/yuanzhi-li/)
- [Yuhuai Wu](https://md.research.elamur.ai/free/en/authors/yuhuai-wu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- Proceedings of the 31st International Conference on Computational Linguistics: Industry Track
- neural information processing systems

## Cited by

Papers of our library cite their works 148 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/samy-jelassi/cited-by/).

Updated 3 November 2026
