Graham Neubig
Yonatan Bisk
Hideo Saito
Alexandre Drouin
Atsunori Moteki
A prominent figure in machine learning and natural language processing, with extensive work on large language models, question answering, code generation, and evaluation. His academic leadership and experience organizing workshops (e.g., ACL 2017 workshop on neural machine translation) are invaluable.
Relevant Expertise: Machine learning and natural language processing, with a focus on large language models, question answering, code generation, multilingual processing, and evaluation/interpretability. Extensive experience organizing workshops.
His research theme cover Natural Language Processing with an emphasis on grounding and embodiment. His extensive experience as a program committee member for major conferences (NeurIPS 2023, ICLR 2024) will be critical for ensuring a high-quality review process.
Relevant Expertise: Natural Language Processing (NLP) with an emphasis on grounding and embodiment. Extensive experience as a program committee member for major AI conferences.
He specializes in computer vision, pattern recognition, computational photography, and their XR applications. He has significantly contributed to academia, serving as Program Chair for ACCV 2014 and General Chair for ISMAR 2015, and receiving the ISMAR 2023 Best Journal Paper Award. He has organized multiple workshops at international conferences, such as IWDR at ISMAR (2015-2016), HDC at WACV (2017) and ACM MMSports at ACM Multimedia (2018-2025).
Relevant Expertise: Computer vision, vision based sensing and recognition, human behavior sensing / recognition and its applications. Extensive experience as a program committee member for major CV/XR related conferences.
He leads the Frontier AI Research group at ServiceNow Research and is an Adjunct Professor of Computer Science at Laval University and Mila. His work focuses on machine learning for decision-making in complex, dynamic environments, with emphasis on causal inference, probabilistic time series forecasting, and, more recently, LLM-based agents for automating decisions in these contexts. His recent contributions include benchmarks and frameworks for developing agents with capabilities in browser automation, data analytics, and forecasting, as well as assessing their security and robustness. He has extensive experience in academic conference organization, currently serving on the Program Committee for NeurIPS 2026 Evaluations and Datasets track.
His research interests lie in the implementation of Agentic AI, Computer Vision and Human Computer Interaction (including XR) in manufacturing and retail environments. Recently his team proposed a benchmark for AI agents that support on-site field work.
Relevant Expertise: Agentic AI, Computer vision, Human Computer Interaction and its applications.
Organizing Committee +
Organizing Committee + Steering Committee +