---
title: "Alexandre Rame · Google — author profile and papers"
description: "Alexandre Rame, Google: 2 papers on Elamur Research (2023–2024), h-index 10 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/alexandre-rame/"
---
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# Alexandre Rame

Alexandre Rame has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Geoffrey Cideron](https://md.research.elamur.ai/free/en/authors/geoffrey-cideron/), [Jean-Baptiste Gaya](https://md.research.elamur.ai/free/en/authors/jean-baptiste-gaya/), [Johan Ferret](https://md.research.elamur.ai/free/en/authors/johan-ferret/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5057217987) · [**h-index 10**](https://openalex.org/authors/A5057217987) · [36 works](https://openalex.org/works?filter=author.id:A5057217987) · [931 citations](https://openalex.org/works?filter=author.id:A5057217987&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/alexandre-rame/#papers) · [🔗 Cited 2,440 times in our library](https://md.research.elamur.ai/free/en/authors/alexandre-rame/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8104](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8104)

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

## Affiliations

[🏢**Google** Mountain View · United States 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Sorbonne Université** Paris · France 2018–2023 · 9 papers](https://md.research.elamur.ai/free/en/universities/sorbonne-universite/) · [🔬**Institut Systèmes Intelligents et de Robotique** Paris · France 2021–2023 · 4 papers](https://md.research.elamur.ai/free/en/labs/institut-systemes-intelligents-et-de-robotique/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2018–2022 · 3 papers](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🔬**LIP6** Paris · France 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/labs/lip6/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards](https://md.research.elamur.ai/free/en/papers/rame-2023-rewarded-soups-towards-pareto-optimal/)** *(2023 · 90 citations)* Reinforcement learning, including RLHF, aligns foundation models using proxy rewards that only approximate what users really want, and people disagree about what a good output is.
2. **[BOND: Aligning LLMs with Best-of-N Distillation](https://md.research.elamur.ai/free/en/papers/sessa-2024-bond-aligning-llms-best-n/)** *(2024 · 23 citations)* Best-of-N sampling draws N responses from a reference model and keeps the one a reward model scores highest.

## All works

5 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. **[Gemma 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations*
2. **[Gemma 3 Technical Report ↗](https://arxiv.org/abs/2503.19786) arXiv:2503.19786 · no summary yet**Gemma Team et al.*2025 · 1,147 citations*
3. **[DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion ↗](https://doi.org/10.1109/cvpr52688.2022.00907) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Arthur Douillard et al.*2022 · 368 citations*
4. **[Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards](https://md.research.elamur.ai/free/en/papers/rame-2023-rewarded-soups-towards-pareto-optimal/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alexandre Rame, Guillaume Couairon, Mustafa Shukor, et al.*2023 · 90 citations*
5. [**BOND: Aligning LLMs with Best-of-N Distillation arXiv:2407.14622**Pier Giuseppe Sessa, Robert Dadashi, Leonard Hussenot, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/sessa-2024-bond-aligning-llms-best-n/)

## Co-authors here

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

- [Geoffrey Cideron](https://md.research.elamur.ai/free/en/authors/geoffrey-cideron/)
- [Jean-Baptiste Gaya](https://md.research.elamur.ai/free/en/authors/jean-baptiste-gaya/)
- [Johan Ferret](https://md.research.elamur.ai/free/en/authors/johan-ferret/)
- [Laure Soulier](https://md.research.elamur.ai/free/en/authors/laure-soulier/)
- [Leonard Hussenot](https://md.research.elamur.ai/free/en/authors/leonard-hussenot/)
- [Matthieu Cord](https://md.research.elamur.ai/free/en/authors/matthieu-cord/)
- [Nino Vieillard](https://md.research.elamur.ai/free/en/authors/nino-vieillard/)
- [Piotr Stanczyk](https://md.research.elamur.ai/free/en/authors/piotr-stanczyk/)
- [Robert Dadashi](https://md.research.elamur.ai/free/en/authors/robert-dadashi/)
- [Sarah Perrin](https://md.research.elamur.ai/free/en/authors/sarah-perrin/)
- [Sertan Girgin](https://md.research.elamur.ai/free/en/authors/sertan-girgin/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

## Cited by

Papers of our library cite their works 2,440 times (of the 149,439 papers whose bibliographies we read); [640 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/alexandre-rame/cited-by/).

Updated 3 November 2026
