| Continual pre-training of language models Z Ke, Y Shao, H Lin, T Konishi, G Kim, B Liu arXiv preprint arXiv:2302.03241, 2023 | 52 | 2023 |
| 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 | 16 | 2022 |
| Adapting a language model while preserving its general knowledge Z Ke, Y Shao, H Lin, H Xu, L Shu, B Liu arXiv preprint arXiv:2301.08986, 2023 | 11 | 2023 |
| LUNA: language understanding with number augmentations on transformers via number plugins and pre-training H Han, J Xu, M Zhou, Y Shao, S Han, D Zhang arXiv preprint arXiv:2212.02691, 2022 | 10 | 2022 |
| Cmg: A class-mixed generation approach to out-of-distribution detection M Wang, Y Shao, H Lin, W Hu, B Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 6 | 2022 |
| Class-incremental learning based on label generation Y Shao, Y Guo, D Zhao, B Liu arXiv preprint arXiv:2306.12619, 2023 | 4 | 2023 |
| Accent: An automatic event commonsense evaluation metric for open-domain dialogue systems S Ghazarian, Y Shao, R Han, A Galstyan, N Peng arXiv preprint arXiv:2305.07797, 2023 | 3 | 2023 |
| Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models Y Shao, Y Jiang, TA Kanell, P Xu, O Khattab, MS Lam arXiv preprint arXiv:2402.14207, 2024 | 2 | 2024 |
| FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information Y Shao, M Zhou, Y Zhong, T Wu, H Han, S Han, G Huang, D Zhang arXiv preprint arXiv:2211.05284, 2022 | 2 | 2022 |
| Anameta: A table understanding dataset of field metadata knowledge shared by multi-dimensional data analysis tasks X He, M Zhou, M Zhou, J Xu, X Lv, T Li, Y Shao, S Han, Z Yuan, D Zhang arXiv preprint arXiv:2209.00946, 2022 | 2 | 2022 |
| Quiet-star: Language models can teach themselves to think before speaking E Zelikman, G Harik, Y Shao, V Jayasiri, N Haber, ND Goodman arXiv preprint arXiv:2403.09629, 2024 | 1 | 2024 |
| Class Incremental Learning via Likelihood Ratio Based Task Prediction H Lin, Y Shao, W Qian, N Pan, Y Guo, B Liu arXiv preprint arXiv:2309.15048, 2023 | 1 | 2023 |
