Lucas Caccia

39 papers A* 5A 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to Solve Complex Problems via Dataset Decomposition.
CoRR
Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Weijia Xu, Alessandro Sordoni
2026 J jnl
Modular Memory is the Key to Continual Learning Agents.
CoRR
Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026 J jnl
Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts.
CoRR
Sanae Lotfi, Lucas Caccia, Alessandro Sordoni, Jordan T. Ash, Miroslav Dudik
2025 — conf
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment.
ACL (1)
Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu, Asma Ben Abacha, Alessandro Sordoni, Lucas Caccia, François Beaulieu, Thomas Lin, Jens Kleesiek, Paul Vozila
2025 J jnl
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment.
CoRR
Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu, Asma Ben Abacha, Alessandro Sordoni, Lucas Caccia, François Beaulieu, Thomas Lin, Jens Kleesiek, Paul Vozila
2025 J jnl
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning.
Trans. Mach. Learn. Res.
Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2025 J jnl
BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills.
CoRR
Atharv Sonwane, Isadora White, Hyunji Lee, Matheus Pereira, Lucas Caccia, Minseon Kim, Zhengyan Shi, Chinmay Singh, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan
2025 J jnl
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts.
CoRR
Samin Yeasar Arnob, Zhan Su, Minseon Kim, Oleksiy Ostapenko, Riyasat Ohib, Esra'a Saleh, Doina Precup, Lucas Caccia, Alessandro Sordoni
2025 J jnl
Generative Modeling of Individual Behavior at Scale.
CoRR
Nabil Omi, Lucas Caccia, Anurag Sarkar, Jordan T. Ash, Siddhartha Sen
2025 J jnl
Gistify! Codebase-Level Understanding via Runtime Execution.
CoRR
Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia
2025 J jnl
Learning to Extract Context for Context-Aware LLM Inference.
CoRR
Minseon Kim, Lucas Caccia, Zhengyan Shi, Matheus Pereira, Marc-Alexandre Côté, Xingdi Yuan, Alessandro Sordoni
2025 J jnl
Training Plug-n-Play Knowledge Modules with Deep Context Distillation.
CoRR
Lucas Caccia, Alan Ansell, Edoardo M. Ponti, Ivan Vulic, Alessandro Sordoni
2025 J jnl
debug-gym: A Text-Based Environment for Interactive Debugging.
CoRR
Xingdi Yuan, Morgane M. Moss, Charbel El Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
2024 J jnl
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning.
CoRR
Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2024 A* conf
Towards Modular LLMs by Building and Reusing a Library of LoRAs.
ICML
Oleksiy Ostapenko, Zhan Su, Edoardo M. Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni
2024 J jnl
Towards Modular LLMs by Building and Reusing a Library of LoRAs.
CoRR
Oleksiy Ostapenko, Zhan Su, Edoardo Maria Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni
2023 A* conf
Building a Subspace of Policies for Scalable Continual Learning.
ICLR
Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
2023 J jnl
Guiding Language Model Reasoning with Planning Tokens.
CoRR
Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
2023 J jnl
Guiding The Last Layer in Federated Learning with Pre-Trained Models.
CoRR
Gwen Legate, Nicolas Bernier, Lucas Caccia, Edouard Oyallon, Eugene Belilovsky
2023 — conf
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning.
CoLLAs
Gwen Legate, Lucas Caccia, Eugene Belilovsky
2023 J jnl
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning.
CoRR
Gwen Legate, Lucas Caccia, Eugene Belilovsky
2022 J jnl
Building a Subspace of Policies for Scalable Continual Learning.
CoRR
Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
2022 J jnl
Multi-Head Adapter Routing for Data-Efficient Fine-Tuning.
CoRR
Lucas Caccia, Edoardo Maria Ponti, Lucas Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
2022 A* conf
New Insights on Reducing Abrupt Representation Change in Online Continual Learning.
ICLR
Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
2022 — conf
On Anytime Learning at Macroscale.
CoLLAs
Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
2021 J jnl
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning.
CoRR
Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon
2021 J jnl
On Anytime Learning at Macroscale.
CoRR
Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
2021 J jnl
Reducing Representation Drift in Online Continual Learning.
CoRR
Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
2021 J jnl
SPeCiaL: Self-Supervised Pretraining for Continual Learning.
CoRR
Lucas Caccia, Joelle Pineau
2021 — conf
SPeCiaL: Self-supervised Pretraining for Continual Learning.
CSSL
Lucas Caccia, Joelle Pineau
2020 A* conf
Language GANs Falling Short.
ICLR
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin
2020 J jnl
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
CoRR
Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
2020 A* conf
Online Learned Continual Compression with Adaptive Quantization Modules.
ICML
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
2019 A conf
Deep Generative Modeling of LiDAR Data.
IROS
Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
2019 J jnl
Online Continual Learning with Maximally Interfered Retrieval.
CoRR
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars
2019 J jnl
Online Learned Continual Compression with Stacked Quantization Module.
CoRR
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
2019 J jnl
Recurrent Value Functions.
CoRR
Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau
2018 J jnl
Deep Generative Modeling of LiDAR Data.
CoRR
Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
2018 J jnl
Language GANs Falling Short.
CoRR
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin