---
title: "David Brandfonbrener — author profile and papers in our library"
description: "David Brandfonbrener: 2 papers on Elamur Research (2024–2025), h-index 7 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/david-brandfonbrener/"
---
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# David Brandfonbrener

David Brandfonbrener has 2 papers in our library, in 2024–2025, 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/), [Lovish Madaan](https://md.research.elamur.ai/free/en/authors/lovish-madaan/), [Manzil Zaheer](https://md.research.elamur.ai/free/en/authors/manzil-zaheer/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5037978510) · [**h-index 7**](https://openalex.org/authors/A5037978510) · [32 works](https://openalex.org/works?filter=author.id:A5037978510) · [127 citations](https://openalex.org/works?filter=author.id:A5037978510&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/#papers) · [🔗 Cited 81 times in our library](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8954](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8954)

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

## Affiliations

[🎓**New York University** New York · United States 2019–2023 · 10 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**Harvard University** Cambridge · United States 2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**Yale University** New Haven · United States 2018–2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/yale-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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 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/david-brandfonbrener/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/year/2024/)

## 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. **[The Art of Scaling Reinforcement Learning Compute for LLMs](https://md.research.elamur.ai/free/en/papers/khatri-2025-art-scaling-reinforcement-learning-compute/)** *(2025 · 20 citations)* Reinforcement learning now consumes a large share of LLM training compute. Unlike pre-training, though, it has no dependable way to forecast how a training recipe will behave as budgets grow. The authors tackle this with a study totalling over 400,000 GPU-hours on Nvidia GB200 hardware. Most runs use an 8B dense…

## All works

4 works of theirs in our library, the most cited first; 2 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. [**The Art of Scaling Reinforcement Learning Compute for LLMs arXiv:2510.13786**Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, et al.*2025 · 20 citations*](https://md.research.elamur.ai/free/en/papers/khatri-2025-art-scaling-reinforcement-learning-compute/)
3. **[Evaluating representations by the complexity of learning low-loss predictors ↗](https://arxiv.org/abs/2009.07368) arXiv (Cornell University) · no summary yet**Whitney, William F. et al.*2020 · 13 citations*
4. **[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*

## Co-authors here

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

- [Eran Malach](https://md.research.elamur.ai/free/en/authors/eran-malach/)
- [Lovish Madaan](https://md.research.elamur.ai/free/en/authors/lovish-madaan/)
- [Manzil Zaheer](https://md.research.elamur.ai/free/en/authors/manzil-zaheer/)
- [Rachit Bansal](https://md.research.elamur.ai/free/en/authors/rachit-bansal/)
- [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/)
- [Rishabh Tiwari](https://md.research.elamur.ai/free/en/authors/rishabh-tiwari/)
- [Samy Jelassi](https://md.research.elamur.ai/free/en/authors/samy-jelassi/)
- [Sham M. Kakade](https://md.research.elamur.ai/free/en/authors/sham-m-kakade/)

## Cited by

Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/david-brandfonbrener/cited-by/).

Updated 3 November 2026
