Le, Minh

7 publications

ICLR 2026 One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-Based Continual Learning Minh Le, Bao-Ngoc Dao, Huy Nguyen, Quyen Tran, Anh Nguyen, Nhat Ho

ICLR 2026 Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts Minh Le, Anh Nguyen, Huy Nguyen, Chau Nguyen, Anh Tuan Tran, Nhat Ho

AAAI 2025 Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective Minh Le, Tien Ngoc Luu, An Nguyen The, Thanh-Thien Le, Trang Nguyen, Tung Thanh Nguyen, Linh Ngo Van, Thien Huu Nguyen

ICML 2025 On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho

ICML 2025 RepLoRA: Reparameterizing Low-Rank Adaptation via the Perspective of Mixture of Experts Tuan Truong, Chau Nguyen, Huy Nguyen, Minh Le, Trung Le, Nhat Ho

ICLR 2025 Revisiting Prefix-Tuning: Statistical Benefits of Reparameterization Among Prompts Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho

NeurIPS 2024 Mixture of Experts Meets Prompt-Based Continual Learning Minh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho