Ines Arous is a Postdoctoral Researcher interested in advancing the field of human-centered natural language processing (NLP). As a Postdoctoral Researcher at the Mila - Quebec AI Institute and McGill University, she works on optimizing the usage of human feedback in language models. Her work focuses on designing frameworks that leverage human intelligence to enhance NLP models and tailoring them for applications with significant societal impact. She earned her Ph.D. from the University of Fribourg, specializing in human-AI collaborative approaches for data curation. She developed hybrid human-AI approaches for data collection, evaluation, and model explanation. Her work has been accepted and presented at top conferences, including the Web Conference, AAAI, and ACL. During her doctoral studies, she completed an internship at Alexa Shopping, Amazon Research.
AI & Data Science Leader of the Year Award
AI & Data Science Leader of the Year Award
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