Scholar
Louis Martin
Google Scholar ID: W_Y6OKAAAAAJ
Mistral AI (ex. FAIR)
Citations & Impact
Citations
35,618
H-index
23
i10-index
32
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- - Released open-source CamemBERT model, with over 300k downloads per month and industry applications.
- - Research was personally presented to the French Minister for People with disabilities, core to the Cap’FALC project.
- - Featured in 9 news articles/podcasts, gave 3 interviews including VentureBeat, Le Monde, France Culture, ActuIA, etc.
- - Holds a US patent as the sole inventor on compact neural models.
Research Experience
- - Research Scientist at Meta AI since April 2023, leading work on Large Language Model’s Safety.
- - Applied Research Scientist at Meta AI since August 2021, working on making recommender systems more relevant and interpretable through text understanding.
- - Led a project on large scale weakly-supervised pretraining of NLP models and explored retrieval augmented models for richer text representations.
- - PhD Student at Facebook AI Research from May 2018 to August 2021, created a demo on Text Simplification presented to Mark Zuckerberg.
- - NLP Research Intern at Facebook AI Research from May 2017 to November 2017, integrated a neural conversational model into Facebook Messenger.
- - Computer Vision R&D Intern at GoPro from February 2016 to July 2016, developed a compact CNN architecture for face recognition.
Education
- PhD in Artificial Intelligence, 2021 from Facebook AI Research & Inria; Master of Science in Mathematics, Vision and Machine Learning (MVA), 2017 from Ecole Normale Supérieure Paris-Saclay; Master of Engineering in Applied Mathematics, 2017 from École Centrale Paris.
Background
- Research Scientist in Artificial Intelligence, focusing on Natural Language Processing. Works at Meta AI. Completed PhD research on text simplification and using AI to assist people with cognitive disabilities. Part of the Effective Altruism (EA) community, aiming to maximize positive impact on the world.
Miscellany
- Interests include AI Alignment & Safety, Natural Language Processing, Language Modeling, and Text Simplification.
