Christopher Pal
Distinguished Scientist
AI Research Partnerships & Ecosystem
Leadership team
Christopher Pal is a Full Professor at Polytechnique Montréal, a Canada CIFAR AI Chair, an adjunct professor in the Department of Computer Science and Operations Research (DIRO) at the Université de Montréal. He is also a Distinguished Scientist at ServiceNow Research. He has been involved in AI and machine learning research for over twenty-five years and has published extensively on key aspects of artificial intelligence, machine learning and deep learning, including work on: large language models (LLMs), reasoning, robotics, computer vision, and generative modelling techniques. He has a PhD in computer science from the University of Waterloo, is associated with the IVADO, and is one of the core founding faculty members of Mila, the Quebec AI Institute.
Intérêts
- Machine Learning
- Computer Vision
- Natural Language Processing
- Reinforcement Learning
- Deep Learning
Publications
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation.
Rabiul Awal,
Mahsa Massoud,
Zichao Li,
Aarash Feizi,
Suyuchen Wang,
Christopher Pal,
Aishwarya Agrawal,
David Vazquez,
Perouz Taslakian,
Spandana Gella,
Sai Rajeswar Mudumba. At
Conference on Empirical Methods in Natural Language Processing (EMNLP),
2025.
BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning.
Ahmed Masry,
Abhay Puri,
Masoud Hashemi,
Juan A. Rodriguez,
Megh Thakkar,
Khyati Mahajan,
Vikas Yadav,
Sathwik Tejaswi Madhusudhan,
Alexandre Piche,
Dzmitry Bahdanau,
Christopher Pal,
David Vazquez,
Enamul Hoque Prince ,
Perouz Taslakian,
Sai Rajeswar Mudumba,
Spandana Gella. At
Conference on Language Modeling (COLM),
2025.
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.
Shravan Nayak,
Xiangru Jian,
Kevin Lin,
Juan A. Rodriguez,
Motek Kalsi,
Nicolas Chapados,
Tamer Özsu,
Aishwarya Agrawal,
David Vazquez,
Christopher Pal,
Perouz Taslakian,
Spandana Gella,
Sai Rajeswar Mudumba. At
International Conference on Machine Learning (ICML),
2025.
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation.
Rabiul Awal,
Mahsa Massoud,
Zichao Li,
Aarash Feizi,
Suyuchen Wang,
Christopher Pal,
Aishwarya Agrawal,
David Vazquez,
Siva Reddy,
Juan A. Rodriguez,
Perouz Taslakian,
Sai Rajeswar Mudumba. At
Workshop at the Computer Vision and Pattern Recognition Conference (CVPR),
2025.
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding.
Ahmed Masry,
Juan A. Rodriguez,
Tianyu Zhang,
Suyuchen Wang,
Chao Wang,
Aarash Feizi,
Akshay Kalkunte,
Abhay Puri,
Xiangru Jian,
Pierre-André Noël,
Sathwik Madhusudhan,
Marco Pedersoli,
Bang Liu,
Nicolas Chapados,
Yoshua Bengio,
Enamul Hoque Prince ,
Christopher Pal,
Issam H. Laradji,
David Vazquez,
Perouz Taslakian,
Spandana Gella,
Sai Rajeswar Mudumba. At
Workshop at the International Conference of Learning Representation (ICLR),
2025.
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation.
Rabiul Awal,
Mahsa Massoud,
Zichao Li,
Aarash Feizi,
Suyuchen Wang,
Christopher Pal,
Aishwarya Agrawal,
David Vazquez,
Siva Reddy,
Juan A. Rodriguez,
Perouz Taslakian,
Spandana Gella,
Sai Rajeswar Mudumba. At
Workshop at the International Conference of Learning Representation (ICLR),
2025.
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks.
Juan A. Rodriguez,
Xiangru Jian,
Siba Smarak Panigrahi,
Tianyu Zhang,
Aarash Feizi,
Abhay Puri,
Akshay Kalkunte,
Francois Savard,
Ahmed Masry,
Shravan Nayak,
Rabiul Awal,
Mahsa Massoud,
Amirhossein Abaskohi,
Zichao Li,
Suyuchen Wang,
Pierre-André Noël,
Mats L. Richter,
Saverio Vadacchino,
Shubham Agarwal,
Sanket Biswas,
Sara Shanian,
Ying Zhang,
Sathwik Tejaswi Madhusudhan,
João Monteiro,
Krishnamurthy (Dj) Dvijotham,
Torsten Scholak,
Nicolas Chapados,
Sepideh Kharaghani,
Sean Hughes,
Tamer Özsu,
Siva Reddy,
Marco Pedersoli,
Yoshua Bengio,
Christopher Pal,
Issam H. Laradji,
Spandana Gella,
Perouz Taslakian,
David Vazquez,
Sai Rajeswar Mudumba. At
International Conference of Learning Representations (ICLR),
2025.
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation.
Gaurav Sahu,
Abhay Puri,
Juan A. Rodriguez,
Amirhossein Abaskohi,
Mohammad (Aaron) Chegini ,
Alexandre Drouin,
Perouz Taslakian,
Valentina Zantedeschi,
Alexandre Lacoste,
David Vazquez,
Nicolas Chapados,
Christopher Pal,
Sai Rajeswar Mudumba,
Issam H. Laradji. At
International Conference of Learning Representations (ICLR),
2025.
BigDocs: A Permissively-Licensed Dataset for Training Vision-Language Models on Document and Code Tasks.
Juan A. Rodriguez,
Xiangru Jian,
Siba Smarak Panigrahi,
Tianyu Zhang,
Aarash Feizi,
Abhay Puri,
Akshay Kalkunte,
Francois Savard,
Amirhossein Abaskohi,
Ahmed Masry,
Shravan Nayak,
Mahsa Massoud,
Rabiul Awal,
Pierre-André Noël,
Mats L. Richter,
Saverio Vadacchino,
Shubham Agarwal,
Sanket Biswas,
Ying Zhang,
Sathwik Tejaswi Madhusudhan,
João Monteiro,
Krishnamurthy (Dj) Dvijotham,
Torsten Scholak,
Nicolas Chapados,
Sean Hughes,
Tamer Özsu,
Aishwarya Agrawal,
Marco Pedersoli,
Christopher Pal,
Perouz Taslakian,
David Vazquez,
Issam H. Laradji,
Spandana Gella,
Sai Rajeswar Mudumba. At
Workshop at the Neural Information Processing Systems (NeurIPS),
2024.
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning.
Nan Rosemary Ke,
Aniket Didolkar,
Sarthak Mittal,
Anirudh Goyal,
Guillaume Lajoie,
Danilo Rezende,
Yoshua Bengio,
Christopher Pal,
Stefan Bauer ,
Michael C. Mozer. At
Conference on Neural Information Processing Systems (NeurIPS),
2021.
Predicting Infectiousness for Proactive Contact Tracing.
Yoshua Bengio,
Prateek Gupta,
Tegan Maharaj,
Nasim Rahaman,
Martin Weiss,
Tristan Deleu,
Eilif Benjamin Muller,
Meng Qu,
victor schmidt,
Pierre-luc St-charles,
hannah alsdurf,
Olexa Bilaniuk,
david buckeridge,
gaetan caron,
pierre luc carrier,
Joumana Ghosn,
satya ortiz gagne,
Christopher Pal,
Irina Rish,
Bernhard Schölkopf,
abhinav sharma,
Jian Tang. At
International Conference on Learning Representations (ICLR),
2021.
SEVN: A Sidewalk Simulation Environment for Visual Navigation.
Martin Weiss,
Simon Chamorro,
Roger Girgis,
Margaux Luck,
Samira Ebrahimi Kahou,
Joseph P. Cohen,
Derek Nowrouzezahrai,
Doina Precup,
Florian Golemo,
Christopher Pal. At
Conference on Robot Learning (CoRL),
2019.
Deep Complex Networks.
Chiheb Trabelsi,
Olexa Bilaniuk,
Ying Zhang,
Dmitriy Serdyuk,
Sandeep Subramanian,
João Felipe Santos,
Soroush Mehri,
Negar Rostamzadeh,
Yoshua Bengio,
Christopher Pal. At
International Conference on Learning Representations (ICLR),
2018.