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Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

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2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Towards efficient and effective preference alignment for large language models
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 Quotient Types in Typer