David Vazquez
Director of AI Research
AI Research Management
Leadership team
David is the Manager of Research Programs at ServiceNow Research. He has degrees in Software Engineering from the Universidade de A Coruña (UDC) and Computer Science from the Autonomous University of Barcelona (UAB), which includes a Masters in Computer Vision and Artificial Intelligence and a PhD in Computer Science. He then completed a postdoc at the Computer Vision Center (CVC), as well as a postdoc between CVC and Montreal Institute of Learning Algorithm (MILA). Previously, he worked in Computer Vision applied to the automotive industry. Notably, he worked on Advanced Driver Assistance Systems (ADAS), with a focus on pedestrian detection where he created a driving simulator and adapted it using Domain Adaptation to work in the real world. David also contributed to the creation of an Autonomous Driving simulator and a real Autonomous Vehicle prototype, working mainly on the perception system of the vehicle (Object detection, Semantic Segmentation, 3D reconstruction, SLAM, etc.).
Interests
- Machine Learning
- Computer Vision
- Natural Language Processing
- Intent Classification
- Low Supervision
Publications
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.
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?.
Alexandre Drouin,
Maxime Gasse,
Massimo Caccia,
Issam H. Laradji,
Manuel Del Verme,
Tom Marty,
Léo Boisvert,
Megh Thakkar,
Quentin Cappart,
David Vazquez,
Nicolas Chapados,
Alexandre Lacoste. At
International Conference on Machine Learning (ICML),
2024.
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.
Lorenzo Pellegrini,
Chenchen Zhu,
Fanyi Xiao,
Zhicheng Yan,
Antonio Carta,
Matthias De Lange,
Vincenzo Lomonaco,
Roshan Sumbaly,
Pau Rodriguez,
David Vazquez. At
ArXiv,
2024.
The Unsolved Challenges of LLMs in Open-Ended Web Tasks: A Case Study.
Rim Assouel,
Tom Marty,
Massimo Caccia,
Issam H. Laradji,
Alexandre Drouin,
Sai Rajeswar Mudumba,
Hector Palacios,
Quentin Cappart,
David Vazquez,
Nicolas Chapados,
Maxime Gasse,
Alexandre Lacoste. At
Workshop at the Neural Information Processing Systems (NeurIPS),
2023.
GEO-Bench: Toward Foundation Models for Earth Monitoring.
Alexandre Lacoste,
Nils Lehmann,
Hannah Kerner,
Hamed Alemohammad,
Björn Lütjens,
Jeremy Irvin,
David Dao,
Pau Rodriguez,
Alexandre Drouin,
David Vazquez,
Evan D. Sherwin. At
NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets),
2023.
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.
Alexandre Lacoste,
Hannah Kerner,
Hamed Alemohammad,
Björn Lütjens,
Jeremy Irvin,
David Dao,
Alex Chang,
Mehmet Gunturkun,
Alexandre Drouin,
Pau Rodriguez,
David Vazquez,
Evan D. Sherwin. At
Workshop at the Neural Information Processing Systems (NeurIPS),
2021.
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
Massimo Caccia,
Pau Rodriguez,
Oleksiy Ostapenko,
Fabrice Normandin,
Min Lin,
Lucas Caccia,
Issam H. Laradji,
Irina Rish,
Alexandre Lacoste,
David Vazquez,
Laurent Charlin. At
Conference on Neural Information Processing Systems (NeurIPS),
2020.
Synbols: Probing Learning Algorithms with Synthetic Datasets.
Alexandre Lacoste,
Pau Rodriguez,
Frederic Branchaud,
Parmida Atighhehchian,
Massimo Caccia,
Issam H. Laradji,
Alexandre Drouin,
Matt Craddock,
Laurent Charlin,
David Vazquez. At
Conference on Neural Information Processing Systems (NeurIPS),
2020.
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions.
Vincenzo Lomonaco,
Lorenzo Pellegrini,
Pau Rodriguez,
Massimo Caccia,
Qi She,
Yu Chen,
Quentin Jodelet,
Ruiping Wang,
Zheda Mai,
David Vazquez,
German I. Parisi,
Nikhil Churamani,
Marc Pickett,
Issam H. Laradji,
Davide Maltoni. At
Artificial Intelligence Journal,
2020.
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
Massimo Caccia,
Pau Rodriguez,
Oleksiy Ostapenko,
Fabrice Normandin,
Min Lin,
Lucas Caccia,
Issam H. Laradji,
Irina Rish,
Alexandre Lacoste,
David Vazquez,
Laurent Charlin. At
Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR),
2020.
Synbols: Probing Learning Algorithms with Synthetic Datasets.
Alexandre Lacoste,
Pau Rodriguez,
Frédéric Branchaud-Charron,
Parmida Atighhehchian,
Massimo Caccia,
Issam H. Laradji,
Alexandre Drouin,
Matt Craddock,
Laurent Charlin,
David Vazquez. At
Montreal AI Symposium (MAIS),
2018.