Regular biography
Antoine Bosselut is a Tenure Track Assistant Professor in the Department of Computer Science at École Polytechnique Fédérale de Lausanne. His research focuses on natural language processing, with teaching responsibilities including courses such as Introduction to Natural Language Processing and Topics in Natural Language Processing. He is affiliated with the Laboratoire de traitement du langage naturel and oversees both PhD supervision and teaching activities across multiple departments at EPFL.
Scholar-generated biography
Antoine Bosselut is a researcher specializing in Natural Language Processing, Machine Learning, and Commonsense Representation and Reasoning. His work focuses on advancing language models through commonsense reasoning, knowledge graph construction, and integrating symbolic and neural approaches. He has developed frameworks such as COMET and QA-GNN, which enhance question answering by combining language models with knowledge graphs. His research also explores model editing, medical pretraining, and the evaluation of multilingual models for cultural and linguistic fairness. Bosselut's contributions span from improving reasoning in language models to creating benchmarks for natural language generation and interactive writing assistants.