| BERT post-training for review reading comprehension and aspect-based sentiment analysis H Xu, B Liu, L Shu, PS Yu arXiv preprint arXiv:1904.02232, 2019 | 915 | 2019 |
| Double embeddings and CNN-based sequence labeling for aspect extraction H Xu, B Liu, L Shu, PS Yu arXiv preprint arXiv:1805.04601, 2018 | 473 | 2018 |
| DOC: Deep Open Classification of Text Documents L Shu, H Xu, B Liu Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 422 | 2017 |
| Multi-task pre-training for plug-and-play task-oriented dialogue system Y Su, L Shu, E Mansimov, A Gupta, D Cai, YA Lai, Y Zhang arXiv preprint arXiv:2109.14739, 2021 | 191 | 2021 |
| Zero-shot out-of-distribution detection based on the pre-trained model clip S Esmaeilpour, B Liu, E Robertson, L Shu Proceedings of the AAAI conference on artificial intelligence 36 (6), 6568-6576, 2022 | 167 | 2022 |
| Lifelong learning CRF for supervised aspect extraction L Shu, H Xu, B Liu arXiv preprint arXiv:1705.00251, 2017 | 149 | 2017 |
| Open-world learning and application to product classification H Xu, B Liu, L Shu, P Yu The World Wide Web Conference, 3413-3419, 2019 | 141 | 2019 |
| 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 | 128 | 2021 |
| Unseen class discovery in open-world classification L Shu, H Xu, B Liu arXiv preprint arXiv:1801.05609, 2018 | 112 | 2018 |
| Improve mathematical reasoning in language models by automated process supervision L Luo, Y Liu, R Liu, S Phatale, H Lara, Y Li, L Shu, Y Zhu, L Meng, J Sun, ... arXiv preprint arXiv:2406.06592 2, 2024 | 88* | 2024 |
| CLASSIC: Continual and contrastive learning of aspect sentiment classification tasks Z Ke, B Liu, H Xu, L Shu arXiv preprint arXiv:2112.02714, 2021 | 63 | 2021 |
| Dombert: Domain-oriented language model for aspect-based sentiment analysis H Xu, B Liu, L Shu, PS Yu arXiv preprint arXiv:2004.13816, 2020 | 60 | 2020 |
| TaCL: Improving BERT pre-training with token-aware contrastive learning Y Su, F Liu, Z Meng, T Lan, L Shu, E Shareghi, N Collier arXiv preprint arXiv:2111.04198, 2021 | 59 | 2021 |
| Lifelong domain word embedding via meta-learning H Xu, B Liu, L Shu, PS Yu arXiv preprint arXiv:1805.09991, 2018 | 55 | 2018 |
| Understanding pre-trained BERT for aspect-based sentiment analysis H Xu, L Shu, PS Yu, B Liu arXiv preprint arXiv:2011.00169, 2020 | 53 | 2020 |
| Rewritelm: An instruction-tuned large language model for text rewriting L Shu, L Luo, J Hoskere, Y Zhu, Y Liu, S Tong, J Chen, L Meng Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18970 …, 2024 | 44 | 2024 |
| Continual training of language models for few-shot learning Z Ke, H Lin, Y Shao, H Xu, L Shu, B Liu arXiv preprint arXiv:2210.05549, 2022 | 40 | 2022 |
| Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets L Shu, B Liu, H Xu, A Kim Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 38* | 2016 |
| 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 |
| Flexibly-structured model for task-oriented dialogues L Shu, P Molino, M Namazifar, H Xu, B Liu, H Zheng, G Tur arXiv preprint arXiv:1908.02402, 2019 | 29* | 2019 |
Hu XuMeta AI (FAIR Labs)Patvirtintas el. paštas meta.com