| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1309 | 2025 |
| 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 | 1044 | 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 | 507 | 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 | 470 | 2017 |
| Improve mathematical reasoning in language models by automated process supervision L Luo, Y Liu, R Liu, S Phatale, M Guo, H Lara, Y Li, L Shu, Y Zhu, L Meng, ... arXiv preprint arXiv:2406.06592, 2024 | 303* | 2024 |
| 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 | 253 | 2022 |
| 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 Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 227 | 2022 |
| 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 | 164 | 2021 |
| Lifelong learning CRF for supervised aspect extraction L Shu, H Xu, B Liu arXiv preprint arXiv:1705.00251, 2017 | 156 | 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 | 155 | 2019 |
| Unseen class discovery in open-world classification L Shu, H Xu, B Liu arXiv preprint arXiv:1801.05609, 2018 | 130 | 2018 |
| 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 | 89 | 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 | 78 | 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 | 72 | 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 Findings of the association for computational linguistics: NAACL 2022, 2497-2507, 2022 | 68 | 2022 |
| Understanding pre-trained bert for aspect-based sentiment analysis H Xu, L Shu, SY Philip, B Liu Proceedings of the 28th international conference on computational …, 2020 | 63 | 2020 |
| 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 | 57 | 2022 |
| Lifelong domain word embedding via meta-learning H Xu, B Liu, L Shu, PS Yu arXiv preprint arXiv:1805.09991, 2018 | 56 | 2018 |
| Enhancing reinforcement learning with dense rewards from language model critic M Cao, L Shu, L Yu, Y Zhu, N Wichers, Y Liu, L Meng Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 51* | 2024 |
| Sira: Sparse mixture of low rank adaptation Y Zhu, N Wichers, CC Lin, X Wang, T Chen, L Shu, H Lu, C Liu, L Luo, ... arXiv preprint arXiv:2311.09179, 2023 | 45 | 2023 |
Hu XuFAIR, MetaVerified email at meta.com
