| Automated Essay Scoring: A Survey of the State of the Art. Z Ke, V Ng IJCAI 19, 6300-6308, 2019 | 270 | 2019 |
| Continual learning of a mixed sequence of similar and dissimilar tasks Z Ke, B Liu, X Huang Advances in neural information processing systems 33, 18493-18504, 2020 | 147 | 2020 |
| Continual pre-training of language models Z Ke, Y Shao, H Lin, T Konishi, G Kim, B Liu The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 133 | 2023 |
| Achieving forgetting prevention and knowledge transfer in continual learning Z Ke, B Liu, N Ma, H Xu, L Shu Advances in Neural Information Processing Systems 34, 22443-22456, 2021 | 130 | 2021 |
| Give me more feedback: Annotating argument persuasiveness and related attributes in student essays W Carlile, N Gurrapadi, Z Ke, V Ng Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 97 | 2018 |
| A theoretical study on solving continual learning G Kim, C Xiao, T Konishi, Z Ke, B Liu Advances in neural information processing systems 35, 5065-5079, 2022 | 96 | 2022 |
| Continual learning of natural language processing tasks: A survey Z Ke, B Liu arXiv preprint arXiv:2211.12701, 2022 | 88 | 2022 |
| Adapting BERT for continual learning of a sequence of aspect sentiment classification tasks Z Ke, H Xu, B Liu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 83 | 2021 |
| CLASSIC: Continual and contrastive learning of aspect sentiment classification tasks Z Ke, B Liu, H Xu, L Shu Proceedings of 2021 Conference on Empirical Methods in Natural Language …, 2021 | 64 | 2021 |
| Learning to give feedback: Modeling attributes affecting argument persuasiveness in student essays. Z Ke, W Carlile, N Gurrapadi, V Ng IJCAI, 4130-4136, 2018 | 46 | 2018 |
| A multi-head model for continual learning via out-of-distribution replay G Kim, B Liu, Z Ke Conference on Lifelong Learning Agents, 548-563, 2022 | 43 | 2022 |
| Continual training of language models for few-shot learning Z Ke, H Lin, Y Shao, H Xu, L Shu, B Liu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 41 | 2022 |
| Give me more feedback II: Annotating thesis strength and related attributes in student essays Z Ke, H Inamdar, H Lin, V Ng Proceedings of the 57th annual meeting of the association for computational …, 2019 | 39 | 2019 |
| Parameter-level soft-masking for continual learning T Konishi, M Kurokawa, C Ono, Z Ke, G Kim, B Liu International Conference on Machine Learning, 17492-17505, 2023 | 36 | 2023 |
| Continual learning with knowledge transfer for sentiment classification Z Ke, B Liu, H Wang, L Shu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 36 | 2021 |
| Bridging the Preference Gap between Retrievers and LLMs Z Ke, W Kong, C Li, M Zhang, Q Mei, M Bendersky Proceedings of the Annual Meeting of the Association for Computational …, 2024 | 25 | 2024 |
| Adapting a language model while preserving its general knowledge Z Ke, Y Shao, H Lin, H Xu, L Shu, B Liu Proceedings of The 2022 Conference on Empirical Methods in Natural Language …, 2022 | 23 | 2022 |
| Open-world continual learning: Unifying novelty detection and continual learning G Kim, C Xiao, T Konishi, Z Ke, B Liu Artificial Intelligence 338, 104237, 2025 | 17 | 2025 |
| Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks Z Ke, B Liu, W Xiong, A Celikyilmaz, H Li Findings of the Association for Computational Linguistics: EMNLP, 2023 | 7 | 2023 |
| FaithEval: Can Your Language Model Stay Faithful to Context, Even If" The Moon is Made of Marshmallows" Y Ming, S Purushwalkam, S Pandit, Z Ke, XP Nguyen, C Xiong, S Joty arXiv preprint arXiv:2410.03727, 2024 | 6 | 2024 |
Bing LiuDistinguished Professor, University of Illinois at ChicagoПодтвержден адрес электронной почты в домене uic.edu