| Survey of hallucination in natural language generation Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii, YJ Bang, A Madotto, ... ACM Computing Surveys 55 (12), 1-38, 2023 | 3321 | 2023 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1310 | 2022 |
| Plug and play language models: a simple approach to controlled text generation S Dathathri, A Madotto, J Lan, J Hung, E Frank, P Molino, J Yosinski, ... ICLR2020, 2020 | 1013 | 2020 |
| Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems CS Wu, A Madotto, E Hosseini-Asl, C Xiong, R Socher, P Fung ACL 2019, 2019 | 510 | 2019 |
| Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems A Madotto, CS Wu, P Fung The 56th Annual Meeting of the Association for Computational Linguistics …, 2018 | 377 | 2018 |
| MoEL: Mixture of Empathetic Listeners Z Lin, A Madotto, J Shin, P Xu, P Fung EMNLP2019, 2019 | 269 | 2019 |
| Personalizing dialogue agents via meta-learning A Madotto, Z Lin, CS Wu, P Fung Proceedings of the 57th annual meeting of the association for computational …, 2019 | 221 | 2019 |
| Mintl: Minimalist transfer learning for task-oriented dialogue systems Z Lin, A Madotto, GI Winata, P Fung EMNLP 2020, 2020 | 180 | 2020 |
| CrossNER: Evaluating Cross-Domain Named Entity Recognition Z Liu, Y Xu, T Yu, W Dai, Z Ji, S Cahyawijaya, A Madotto, P Fung AAAI 2021, 2020 | 167 | 2020 |
| Exploring versatile generative language model via parameter-efficient transfer learning Z Lin, A Madotto, P Fung arXiv preprint arXiv:2004.03829, 2020 | 147 | 2020 |
| Neural path hunter: Reducing hallucination in dialogue systems via path grounding N Dziri, A Madotto, O Zaïane, AJ Bose arXiv preprint arXiv:2104.08455, 2021 | 146 | 2021 |
| 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 | 137 | 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 arXiv preprint arXiv:2012.15504, 2020 | 127 | 2020 |
| Towards few-shot fact-checking via perplexity N Lee, Y Bang, A Madotto, M Khabsa, P Fung arXiv preprint arXiv:2103.09535, 2021 | 119* | 2021 |
| Generating empathetic responses by looking ahead the user’s sentiment J Shin, P Xu, A Madotto, P Fung ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 119* | 2020 |
| Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences GI Winata, A Madotto, CS Wu, P Fung CoNLL 2019, 2019 | 98 | 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, ... arXiv preprint arXiv:2105.04222, 2021 | 96 | 2021 |
| Learning fast adaptation on cross-accented speech recognition GI Winata, S Cahyawijaya, Z Liu, Z Lin, A Madotto, P Xu, P Fung arXiv preprint arXiv:2003.01901, 2020 | 93 | 2020 |
| Emo2vec: Learning generalized emotion representation by multi-task training P Xu, A Madotto, CS Wu, JH Park, P Fung EMNLP WASSA Workshop-2018, 2018 | 85 | 2018 |
| Few-shot bot: Prompt-based learning for dialogue systems A Madotto, Z Lin, GI Winata, P Fung arXiv preprint arXiv:2110.08118, 2021 | 80 | 2021 |
Pascale FungDept. of Electronic & Computer Engineering, the Hong Kong University of Science & TechnologyVerified email at ece.ust.hk
