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Nam Le Hai
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2020 – today
- 2024
- [j1]Nam Le Hai, Trang Nguyen, Ngo Van Linh, Thien Huu Nguyen, Khoat Than:
Continual variational dropout: a view of auxiliary local variables in continual learning. Mach. Learn. 113(1): 281-323 (2024) - [c5]Nam Le Hai, Nghi D. Q. Bui:
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation. NLBSE@ICSE 2024: 61-64 - [i4]Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui:
REPOEXEC: Evaluate Code Generation with a Repository-Level Executable Benchmark. CoRR abs/2406.11927 (2024) - [i3]Nam Le Hai, Nghi D. Q. Bui:
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation. CoRR abs/2408.04663 (2024) - 2023
- [c4]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. ECIR (1) 2023: 537-552 - [c3]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarksi, Laure Soulier:
CoSPLADE : Adaptation d'un Modèle Neuronal Basé sur des Représentations Parcimonieuses pour la Recherche d'Information Conversationnelle. CORIA-TALN 2023: 207-212 - [i2]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval. CoRR abs/2301.04413 (2023) - [i1]Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui:
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation. CoRR abs/2305.06156 (2023) - 2022
- [c2]Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than:
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. PAKDD (1) 2022: 16-28 - [c1]Nam Le Hai, Thomas Gerald, Thibault Formal, Jian-Yun Nie, Benjamin Piwowarski, Laure Soulier:
MLIA-DAC@TREC CAsT 2022: Sparse Contextualized Query Embedding. TREC 2022
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