---
title: "Matthieu Geist · University of Zurich — author profile and papers"
description: "Matthieu Geist, University of Zurich: 2 papers on Elamur Research (2023), h-index 27 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/matthieu-geist/"
---
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# Matthieu Geist

Matthieu Geist has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Orgad Keller](https://md.research.elamur.ai/free/en/authors/orgad-keller/), [Paul Roit](https://md.research.elamur.ai/free/en/authors/paul-roit/), [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5110482875) · [ORCID](https://orcid.org/0009-0002-7888-8233) · [**h-index 27**](https://openalex.org/authors/A5110482875) · [352 works](https://openalex.org/works?filter=author.id:A5110482875) · [3,666 citations](https://openalex.org/works?filter=author.id:A5110482875&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/matthieu-geist/#papers) · [🔗 Cited 2,632 times in our library](https://md.research.elamur.ai/free/en/authors/matthieu-geist/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4522](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4522)

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

## Affiliations

[🎓**University of Zurich** Zurich · Switzerland 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-zurich/) · [🏢**Google** Mountain View · United States 2018–2025 · 67 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Supélec** Gif-sur-Yvette · France 2008–2014 · 54 papers](https://ror.org/00n7gwn90) · [🔬**Georgia Tech-CNRS Laboratory** Metz · France 2011–2016 · 18 papers](https://ror.org/00avmbz91) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2011–2020 · 17 papers](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🔬**Laboratoire Interdisciplinaire des Environnements Continentaux** Vandœuvre-lès-Nancy · France 2016–2020 · 13 papers](https://ror.org/05je79696) · [🎓**Georgia Tech-Europe** Metz · France 2011–2016 · 12 papers](https://ror.org/02m5dy175) · [🎓**Université de Lorraine** Nancy · France 2017–2020 · 11 papers](https://md.research.elamur.ai/free/en/universities/universite-de-lorraine/) · [🔬**CentraleSupélec** Gif-sur-Yvette · France 2015–2017 · 9 papers](https://md.research.elamur.ai/free/en/labs/centralesupelec/) · [🏢**Cohere** San Francisco · United States 2023–2024 · 8 papers](https://md.research.elamur.ai/free/en/companies/cohere/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 more institutions on single bylines are not listed.

## 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 · 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 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 4 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/matthieu-geist/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/)** *(2023 · 299 citations)* Distilling a large autoregressive language model into a smaller student usually means training on a fixed set of sequences, either ground-truth targets or outputs the teacher generated.
2. **[Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback](https://md.research.elamur.ai/free/en/papers/roit-2023-factually-consistent-summarization-reinforcement-learning/)** *(2023 · 70 citations)* Abstractive summarizers often produce statements that their source article does not support or even contradicts.

## All works

8 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. [**On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes arXiv:2306.13649**Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.*2023 · 299 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/)
2. **[What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study ↗](https://arxiv.org/abs/2006.05990) arXiv:2006.05990 · no summary yet**Marcin Andrychowicz et al.*2020 · 118 citations*
3. **[Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback](https://md.research.elamur.ai/free/en/papers/roit-2023-factually-consistent-summarization-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Paul Roit, Johan Ferret, Lior Shani, et al.*2023 · 70 citations*
4. **[Nash Learning from Human Feedback ↗](https://arxiv.org/abs/2312.00886) arXiv:2312.00886 · no summary yet**Remi Munos et al.*2023 · 32 citations*
5. **[IQ-Learn: Inverse soft-Q Learning for Imitation ↗](https://arxiv.org/abs/2106.12142) arXiv (Cornell University) · no summary yet**Divyansh Garg et al.*2021 · 11 citations*
6. **[Extreme Q-Learning: MaxEnt RL without Entropy ↗](https://arxiv.org/abs/2301.02328) arXiv (Cornell University) · no summary yet**Divyansh Garg et al.*2023 · 7 citations*
7. **[A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning ↗](https://arxiv.org/abs/2307.12968) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach et al.*2023 · 1 citation*
8. **[Optimisation d'un tuteur intelligent à partir d'un jeu de données fixé (Optimization of a tutoring system from a fixed set of data) in French ↗](https://aclanthology.org/F12-1031/) Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 1: JEP · no summary yet**Lucie Daubigney, Matthieu Geist, Olivier Pietquin*2012*

## Co-authors here

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

- [Orgad Keller](https://md.research.elamur.ai/free/en/authors/orgad-keller/)
- [Paul Roit](https://md.research.elamur.ai/free/en/authors/paul-roit/)
- [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/)
- [Roee Aharoni](https://md.research.elamur.ai/free/en/authors/roee-aharoni/)
- [Sertan Girgin](https://md.research.elamur.ai/free/en/authors/sertan-girgin/)
- [Yongchao Zhou](https://md.research.elamur.ai/free/en/authors/yongchao-zhou/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)
- Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 1: JEP

## Cited by

Papers of our library cite their works 2,632 times (of the 149,439 papers whose bibliographies we read); [484 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matthieu-geist/cited-by/).

Updated 30 October 2026
