Massimo Caccia

Publications

GitChameleon: Evaluating AI Code Generation Against Python Library Version Incompatibilities. Nizar Islah, Justine Gehring, Diganta Misra, Eilif Muller, Irina Rish, Eilif Benjamin Muller, Massimo Caccia. At Annual Meeting of the Association for Computational Linguistics (ACL), 2026.

GitChameleon: Evaluating AI Code Generation Against Python Library Version Incompatibilities. Nizar Islah, Justine Gehring, Diganta Misra, Eilif Muller, Irina Rish, Eilif Benjamin Muller, Massimo Caccia. At Workshop at the Neural Information Processing Systems (NeurIPS), 2025.

How to Train Your LLM Web Agent: A Statistical Diagnosis. Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault Le Sellier De Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Steve Liu, Alexandre Drouin, Alexandre Piche, Alexandre Lacoste, Massimo Caccia. At Workshop at the Neural Information Processing Systems (NeurIPS), 2025.

How to Train Your LLM Web Agent: A Statistical Diagnosis. Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault Le Sellier De Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Steve Liu, Alexandre Drouin, Alexandre Piche, Alexandre Lacoste, Massimo Caccia. At Neural Information Processing Systems (NeurIPS), 2025.

How to Train Your LLM Web Agent: A Statistical Diagnosis. Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault Le Sellier De Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Steve Liu, Alexandre Drouin, Alexandre Piche, Alexandre Lacoste, Massimo Caccia. At NOW AI, 2025.

How to Train Your LLM Web Agent: A Statistical Diagnosis (Oral). Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault Le Sellier De Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Steve Liu, Alexandre Drouin, Alexandre Piche, Alexandre Lacoste, Massimo Caccia. At Workshop at the International Conference of Machine Learning (ICML), 2025.

The BrowserGym Ecosystem for Web Agent Research. Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Siva Reddy, Quentin Cappart, Graham Neubig, Nicolas Chapados, Alexandre Lacoste. At Transactions on Machine Learning Research (TMLR), 2025.

AgentMerge: Enhancing Generalization in Fine-Tuned LLM Agents. Megh Thakkar, Léo Boisvert, Thibault Le Sellier De Chezelles, Alexandre Piche, Maxime Gasse, Alexandre Lacoste, Massimo Caccia. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think. Massimo Caccia, Megh Thakkar, Léo Boisvert, Thibault Le Sellier De Chezelles, Alexandre Piche, Nicolas Chapados, Alexandre Drouin, Maxime Gasse, Alexandre Lacoste. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier De Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin. At NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2024.

Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think. Massimo Caccia, Megh Thakkar, Léo Boisvert, Thibault Le Sellier De Chezelles, Alexandre Piche, Nicolas Chapados, Alexandre Drouin, Maxime Gasse, Alexandre Lacoste. At NOW AI Conference (NOWAI), 2024.

An Ecosystem for Web Agents: WorkArena, BrowserGym, AgentLab and more. Alexandre Lacoste, Maxime Gasse, Thibault Le Sellier De Chezelles, Massimo Caccia, Léo Boisvert, Megh Thakkar, Alexandre Drouin, Nicolas Chapados. At Montreal AI Symposium (MAIS), 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.

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, David Vazquez, Nicolas Chapados, Alexandre Lacoste. At Workshop at the International Conference of Learning Representation (ICLR), 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.

Continual Learning via Local Module Composition. Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin. At Conference on Neural Information Processing Systems (NeurIPS), 2021.

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vazquez. At International Conference on Computer Vision (ICCV), 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 Learned Continual Compression with Adaptive Quantization Modules. Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau. At International Conference on Machine Learning (ICML), 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.