2023 NTU Undergraduate Innovation Award
Presentation at 2023 NTU Undergraduate Innovation Award
Presentation at 2023 NTU Undergraduate Innovation Award
Attending SIGDIAL 2022 at Edinburgh, UK, September 7-9, 2022
Published in , 2022
A publication on dialogue act augmentation for dialogue state tracking, achieving state-of-the-art performance on MultiWOZ 2.1.
Recommended citation: Chun-Mao Lai, Ming-Hao Hsu, Chao-Wei Huang and Yun-Nung Chen, "Controllable User Dialogue Act Augmentation for Dialogue State Tracking," in Proceedings of The 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022), pages 53-61, Edinburgh, UK, September 7-9, 2022. ACL/ISCA. https://arxiv.org/pdf/2207.12757.pdf
Published in , 2023
A study on an imitation learning framework that combines the benefits of modeling both the conditional and joint probability of the expert distribution.
Recommended citation: Hsiang-Chun Wang, Shang-Fu Chen, Ming-Hao Hsu, Chun-Mao Lai, Shao-Hua Sun, "Diffusion Model-Augmented Behavioral Cloning," in Proceedings of The Frontiers4LCD International Workshop on Diffusion Models at ICML 2023. https://arxiv.org/pdf/2302.13335.pdf