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 | 2078 | 2023 |
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 | 891 | 2020 |
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 | 883 | 2022 |
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 | 469 | 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 | 357 | 2018 |
MoEL: Mixture of Empathetic Listeners Z Lin, A Madotto, J Shin, P Xu, P Fung EMNLP2019, 2019 | 223 | 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 | 197 | 2019 |
Mintl: Minimalist transfer learning for task-oriented dialogue systems Z Lin, A Madotto, GI Winata, P Fung EMNLP 2020, 2020 | 164 | 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 | 127 | 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 | 110 | 2021 |
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 | 108 | 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 | 106 | 2020 |
Exploring versatile generative language model via parameter-efficient transfer learning Z Lin, A Madotto, P Fung arXiv preprint arXiv:2004.03829, 2020 | 102 | 2020 |
Towards few-shot fact-checking via perplexity N Lee, Y Bang, A Madotto, M Khabsa, P Fung arXiv preprint arXiv:2103.09535, 2021 | 100* | 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 | 98* | 2020 |
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences GI Winata, A Madotto, CS Wu, P Fung CoNLL 2019, 2019 | 90 | 2019 |
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 | 87 | 2020 |
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 | 82 | 2021 |
Emo2vec: Learning generalized emotion representation by multi-task training P Xu, A Madotto, CS Wu, JH Park, P Fung EMNLP WASSA Workshop-2018, 2018 | 80 | 2018 |
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables Z Liu, J Shin, Y Xu, GI Winata, P Xu, A Madotto, P Fung EMNLP2019, 2019 | 72 | 2019 |