Publications

(*) denotes equal contribution

Preprints

[P.4] Adaptive Prompt: Unlocking the Power of Visual Prompt Tuning.
Under review.
Minh Le*, Anh Nguyen*, Huy Nguyen, Chau Nguyen, Nhat Ho

[P.3] RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts.
Under review.
Tuan Truong*, Chau Nguyen*, Huy Nguyen*, Minh Le, Trung Le, Nhat Ho

[P.2] On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation.
Under review.
Nghiem T. Diep*, Huy Nguyen*, Chau Nguyen*, Minh Le, Duy M. H. Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho

[P.1] Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning.
Under review.
Quyen Tran, Minh Le, Tuan Truong, Dinh Phung, Linh Ngo, Thien Nguyen, Nhat Ho, Trung Le

Conference Publications

[C.3] Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts.
Proceedings of the ICLR, 2025.
Minh Le*, Chau Nguyen*, Huy Nguyen*, Quyen Tran, Trung Le, Nhat Ho

[C.2] Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective.
Proceedings of the AAAI Conference on Artificial Intelligence 39, 2025 (Oral) .
Minh Le*, Tien Ngoc Luu*, An Nguyen The*, Thanh-Thien Le, Trang Nguyen, Thanh Tung Nguyen, Linh Ngo Van, Thien Huu Nguyen

[C.1] Mixture of Experts Meets Prompt-Based Continual Learning.
Advances in NeurIPS, 2024.
Minh Le, An Nguyen*, Huy Nguyen*, Trang Nguyen*, Trang Pham*, Linh Van Ngo, Nhat Ho