Benjamin Muller

Benjamin Muller is a Research Scientist at Meta, specifically within the Facebook AI Research (FAIR) lab based in New York City. He focuses on advancing artificial intelligence technologies, particularly in the fields of natural language processing (NLP), multilingual modeling, and deep learning.

Education and Career

Muller completed his PhD in 2022 at Sorbonne Université and INRIA Paris, where he was part of the Almanach research team. His academic background includes significant teaching experience, having served as a lecturer and instructor in machine learning and statistics at various institutions in Paris.

Research Focus

His research interests lie in scaling AI technologies to accommodate a wide array of languages, which involves developing better multimodal and multilingual models, as well as creating evaluation benchmarks. He has contributed to several notable projects, including the "Belebele Benchmark," a multilingual reading comprehension dataset covering 122 language variants.13

Contributions and Publications

Muller has authored and co-authored numerous papers in the AI field, with a notable citation record that reflects his influence in the area of NLP. His work includes research on low-resource languages, question answering, and language modeling. He is also recognized for his role in mentoring initiatives aimed at increasing diversity in AI research, such as the Fatima Fellowship program.25

Current Projects

At Meta, Muller is involved in projects that explore the intersection of language and AI, aiming to improve the adaptability and performance of language models across different languages and contexts. His work is critical in addressing challenges in multilingual AI applications, enhancing their usability and effectiveness in real-world scenarios.46