---
title: "Fabian Gloeckle — author profile and papers in our library"
description: "Fabian Gloeckle, Centre National de la Recherche Scientifique: 2 papers on Elamur Research (2024), h-index 3 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/fabian-gloeckle/"
---
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# Fabian Gloeckle

Fabian Gloeckle has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Baptiste Rozière](https://md.research.elamur.ai/free/en/authors/baptiste-roziere/), [David Lopez-Paz](https://md.research.elamur.ai/free/en/authors/david-lopez-paz/), [Gabriel Synnaeve](https://md.research.elamur.ai/free/en/authors/gabriel-synnaeve/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5092698871) · [**h-index 3**](https://openalex.org/authors/A5092698871) · [14 works](https://openalex.org/works?filter=author.id:A5092698871) · [457 citations](https://openalex.org/works?filter=author.id:A5092698871&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fabian-gloeckle/#papers) · [🔗 Cited 1,076 times in our library](https://md.research.elamur.ai/free/en/authors/fabian-gloeckle/cited-by/) · [⭐ Paper Stars ranking: #1984](https://md.research.elamur.ai/free/en/paper-stars/page/20/#star-1984)

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

## Affiliations

[🔬**CERMICS** Champs-sur-Marne · France 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/cermics/) · [🎓**École nationale des ponts et chaussées** Champs-sur-Marne · France 2023–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/ecole-nationale-des-ponts-et-chaussees/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/)

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 6 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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/)

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

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

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/fabian-gloeckle/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Code Llama: Open Foundation Models for Code](https://md.research.elamur.ai/free/en/papers/roziere-2024-code-llama-open-foundation-models/)** *(2024 · 1,430 citations)* Code Llama is Meta AI's family of open code-oriented language models. Rather than training a code model from scratch, the authors take pretrained Llama 2 weights and specialize them through a chain of training stages. The main stage trains on a code-dominated, near-deduplicated corpus of public code, with some…
2. **[Better & Faster Large Language Models via Multi-token Prediction](https://md.research.elamur.ai/free/en/papers/gloeckle-2024-better-faster-large-language-models/)** *(2024 · 90 citations)* LLMs such as GPT and Llama learn by guessing only the single next token. The authors argue this objective needs a lot of data and favours short-range patterns. Gloeckle et al. (FAIR at Meta) instead train models to forecast several upcoming tokens from every position. A shared transformer trunk feeds n separate…

## Co-authors here

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

- [Baptiste Rozière](https://md.research.elamur.ai/free/en/authors/baptiste-roziere/) ×2
- [David Lopez-Paz](https://md.research.elamur.ai/free/en/authors/david-lopez-paz/)
- [Gabriel Synnaeve](https://md.research.elamur.ai/free/en/authors/gabriel-synnaeve/)
- [Itai Gat](https://md.research.elamur.ai/free/en/authors/itai-gat/)
- [Jingyu Liu](https://md.research.elamur.ai/free/en/authors/jingyu-liu/)
- [Jonas Gehring](https://md.research.elamur.ai/free/en/authors/jonas-gehring/)
- [Xiaoqing Ellen Tan](https://md.research.elamur.ai/free/en/authors/xiaoqing-ellen-tan/)
- [Yossi Adi](https://md.research.elamur.ai/free/en/authors/yossi-adi/)

## Cited by

Papers of our library cite their works 1,076 times (of the 149,439 papers whose bibliographies we read); [263 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fabian-gloeckle/cited-by/).

Updated 2 November 2026
