--- title: "Jean Mercat — author profile and papers — Elamur Research" description: "Jean Mercat, Toyota Research Institute: 3 papers on Elamur Research (2024–2025), h-index 3 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/jean-mercat/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jean-mercat/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jean Mercat # Jean Mercat Jean Mercat has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Sedrick Keh](https://md.research.elamur.ai/free/en/authors/sedrick-keh/), [Georgios Smyrnis](https://md.research.elamur.ai/free/en/authors/georgios-smyrnis/), [Marianna Nezhurina](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5002911029) · [**h-index 3**](https://openalex.org/authors/A5002911029) · [8 works](https://openalex.org/works?filter=author.id:A5002911029) · [38 citations](https://openalex.org/works?filter=author.id:A5002911029&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jean-mercat/#papers) · [🔗 Cited 352 times in our library](https://md.research.elamur.ai/free/en/authors/jean-mercat/cited-by/) · [⭐ Paper Stars ranking: #5834](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5834) 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=Jean+Mercat) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jean+Mercat) · [dblp](https://dblp.org/search?q=Jean+Mercat) · [ACL Anthology](https://aclanthology.org/search/?q=Jean+Mercat) ## Affiliations [🔬**Toyota Research Institute** Palo Alto · United States 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/toyota-research-institute/) · [🔬**Laboratoire de Chimie des Polymères Organiques** Pessac · France 2016–2018 · 2 papers](https://ror.org/056n05x05) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 6 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](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/jean-mercat/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/jean-mercat/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[OpenThoughts: Data Recipes for Reasoning Models](https://md.research.elamur.ai/free/en/papers/guha-2025-openthoughts-data-recipes-reasoning-models/)** *(2025 · 122 citations)* The strongest reasoning models are usually distilled from training data that is not public, so researchers know little about which data choices actually matter. 2. **[Language models scale reliably with over-training and on downstream tasks](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/)** *(2024 · 46 citations)* Scaling laws let teams forecast large language model behaviour from cheap small runs. Most published laws, however, assume Chinchilla-style compute-optimal training and predict only next-token loss. In practice, smaller models are often over-trained on far more tokens to cut inference cost, and they are compared on… 3. **[Linearizing Large Language Models](https://md.research.elamur.ai/free/en/papers/mercat-2024-linearizing-large-language-models/)** *(2024 · 16 citations)* Linear-attention models and other recurrent models keep a fixed-size state during generation, which makes inference cheaper than in softmax transformers. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Sedrick Keh](https://md.research.elamur.ai/free/en/authors/sedrick-keh/) ×3 - [Georgios Smyrnis](https://md.research.elamur.ai/free/en/authors/georgios-smyrnis/) ×2 - [Marianna Nezhurina](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/) ×2 - [Alex Fang](https://md.research.elamur.ai/free/en/authors/alex-fang/) - [Ashima Suvarna](https://md.research.elamur.ai/free/en/authors/ashima-suvarna/) - [Etash Guha](https://md.research.elamur.ai/free/en/authors/etash-guha/) - [Hritik Bansal](https://md.research.elamur.ai/free/en/authors/hritik-bansal/) - [Jeffrey Li](https://md.research.elamur.ai/free/en/authors/jeffrey-li/) - [Kushal Arora](https://md.research.elamur.ai/free/en/authors/kushal-arora/) - [Mitchell Wortsman](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/) - [Rui Xin](https://md.research.elamur.ai/free/en/authors/rui-xin/) - [Rulin Shao](https://md.research.elamur.ai/free/en/authors/rulin-shao/) ## 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/) ## Cited by Papers of our library cite their works 352 times (of the 149,439 papers whose bibliographies we read); [72 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jean-mercat/cited-by/). Updated 30 October 2026