| MoEL: Mixture of Empathetic Listeners Z Lin, A Madotto, J Shin, P Xu, P Fung EMNLP2019, 2019 | 250 | 2019 |
| FaceFormer: Speech-Driven 3D Facial Animation with Transformers Y Fan, Z Lin, J Saito, W Wang, T Komura CVPR 2022, 2021 | 213 | 2021 |
| Personalizing dialogue agents via meta-learning Z Lin, A Madotto, CS Wu, P Fung Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 208 | 2019 |
| Caire: An end-to-end empathetic chatbot Z Lin, P Xu, GI Winata, Z Liu, P Fung AAAI2020 Demo, 2019 | 180* | 2019 |
| Mintl: Minimalist transfer learning for task-oriented dialogue systems Z Lin, A Madotto, GI Winata, P Fung EMNLP 2020, 2020 | 175 | 2020 |
| Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning Z Lin, A Madotto, P Fung Findings of EMNLP 2020, 2020 | 131 | 2020 |
| Language models are few-shot multilingual learners GI Winata, A Madotto, Z Lin, R Liu, J Yosinski, P Fung arXiv preprint arXiv:2109.07684, 2021 | 123 | 2021 |
| Continual Learning in Task-Oriented Dialogue Systems A Madotto, Z Lin, Z Zhou, S Moon, P Crook, B Liu, Z Yu, E Cho, Z Wang EMNLP 2021, 2020 | 115 | 2020 |
| Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems Z Liu, GI Winata, Z Lin, P Xu, P Fung AAAI2020, 2019 | 102 | 2019 |
| Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking Z Lin, B Liu, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, A Madotto, E Cho, ... NAACL 2021, 2021 | 93 | 2021 |
| Learning fast adaptation on cross-accented speech recognition GI Winata, S Cahyawijaya, Z Liu, Z Lin, A Madotto, P Xu, P Fung INTERSPEECH 2020, 2020 | 91 | 2020 |
| Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer GI Winata, S Cahyawijaya, Z Lin, Z Liu, P Fung ICASSP2020, 2019 | 86 | 2019 |
| Few-shot bot: Prompt-based learning for dialogue systems A Madotto, Z Lin, GI Winata, P Fung arXiv preprint arXiv:2110.08118, 2021 | 78 | 2021 |
| Variational transformers for diverse response generation Z Lin, GI Winata, P Xu, Z Liu, P Fung arXiv preprint arXiv:2003.12738, 2020 | 66 | 2020 |
| Anymal: An efficient and scalable any-modality augmented language model S Moon, A Madotto, Z Lin, T Nagarajan, M Smith, S Jain, CF Yeh, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 64 | 2024 |
| Zero-Shot Dialogue State Tracking via Cross-Task Transfer Z Lin, B Liu, A Madotto, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, E Cho, ... EMNLP 2021, 2021 | 63 | 2021 |
| XPersona: Evaluating Multilingual Personalized Chatbot Z Lin, Z Liu, GI Winata, S Cahyawijaya, A Madotto, Y Bang, E Ishii, P Fung arXiv preprint arXiv:2003.07568, 2020 | 61 | 2020 |
| Are Multilingual Models Effective in Code-Switching? GI Winata, S Cahyawijaya, Z Liu, Z Lin, A Madotto, P Fung Proceedings of the Fifth Workshop on Computational Approaches to Linguistic …, 2021 | 58 | 2021 |
| Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems A Madotto, S Cahyawijaya, GI Winata, Y Xu, Z Liu, Z Lin, P Fung Findings of EMNLP 2020, 2020 | 58 | 2020 |
| Language models as few-shot learner for task-oriented dialogue systems A Madotto, Z Liu, Z Lin, P Fung arXiv preprint arXiv:2008.06239, 2020 | 58 | 2020 |
Pascale FungDept. of Electronic & Computer Engineering, the Hong Kong University of Science & Technologyece.ust.hk의 이메일 확인됨