Lucas Caccia

Computer Science · Physical Sciences

9h-index457citations34works0.22yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(11), Multimodal Machine Learning Applications(7), Topic Modeling(5), Machine Learning and Data Classification(5), Natural Language Processing Techniques(4)

Publications34 total

Learning to Solve Complex Problems via Dataset Decomposition
ArXiv.org·2026Open Access
Learning to Solve Complex Problems via Dataset Decomposition
arXiv (Cornell University)·2026Open Access
Learning to Extract Context for Context-Aware LLM Inference
arXiv (Cornell University)·2025Open Access
BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills
arXiv (Cornell University)·2025Open Access
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts
arXiv (Cornell University)·2025Open Access
debug-gym: A Text-Based Environment for Interactive Debugging
arXiv (Cornell University)·2025· 1 citedOpen Access
Training Plug-n-Play Knowledge Modules with Deep Context Distillation
arXiv (Cornell University)·2025Open Access
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
2025· 1 citedOpen Access
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning
arXiv (Cornell University)·2024Open Access
Towards Modular LLMs by Building and Reusing a Library of LoRAs
arXiv (Cornell University)·2024Open Access
Guiding Language Model Reasoning with Planning Tokens
arXiv (Cornell University)·2023· 2 citedOpen Access
Guiding The Last Layer in Federated Learning with Pre-Trained Models
arXiv (Cornell University)·2023· 3 citedOpen Access
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning
arXiv (Cornell University)·2023· 4 citedOpen Access
Building a Subspace of Policies for Scalable Continual Learning
arXiv (Cornell University)·2022· 3 citedOpen Access
Multi-Head Adapter Routing for Cross-Task Generalization
arXiv (Cornell University)·2022· 3 citedOpen Access
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
arXiv (Cornell University)·2022Open Access
SPeCiaL: Self-supervised Pretraining for Continual Learning
Lecture notes in computer science·2022· 14 cited
On Anytime Learning at Macroscale
arXiv (Cornell University)·2021Open Access
SPeCiaL: Self-Supervised Pretraining for Continual Learning
arXiv (Cornell University)·2021· 1 citedOpen Access
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning
arXiv (Cornell University)·2021· 1 citedOpen Access
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Frequent Co-authors

Joëlle Pineau(12), Eugene Belilovsky(10), Alessandro Sordoni(10), M. Caccia(6), Matheus M. Pereira(5), Rahaf Aljundi(4), Tinne Tuytelaars(4), Laurent Charlin(3), Oleksiy Ostapenko(3), Laurent Charlin(3), Edoardo Maria Ponti(3), Edouard Oyallon(3), Xingdi Yuan(3), Myoung‐Hee Kim(3), William Fedus(2), Hugo Larochelle(2), Min Lin(2), Herke van Hoof(2), Aaron Courville(2), Nader Asadi(2)