| Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig ACM Computing Surveys 55 (9), 1-35, 2023 | 1123 | 2023 |
| Bartscore: Evaluating generated text as text generation W Yuan, G Neubig, P Liu Advances in Neural Information Processing Systems 34, 27263-27277, 2021 | 206 | 2021 |
| Can we automate scientific reviewing? W Yuan, P Liu, G Neubig Journal of Artificial Intelligence Research 75, 171-212, 2022 | 48 | 2022 |
| Explainaboard: An explainable leaderboard for nlp P Liu, J Fu, Y Xiao, W Yuan, S Chang, J Dai, Y Liu, Z Ye, ZY Dou, ... arXiv preprint arXiv:2104.06387, 2021 | 42 | 2021 |
| Pre-train P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural …, 2021 | 13 | 2021 |
| Datalab: A platform for data analysis and intervention Y Xiao, J Fu, W Yuan, V Viswanathan, Z Liu, Y Liu, G Neubig, P Liu arXiv preprint arXiv:2202.12875, 2022 | 11 | 2022 |
| T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics Y Qin, W Yuan, G Neubig, P Liu arXiv preprint arXiv:2212.05726, 2022 | 3 | 2022 |
| KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training W Yuan, P Liu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11639 …, 2022 | | 2022 |
| reStructured Pre-training W Yuan, P Liu arXiv preprint arXiv:2206.11147, 2022 | | 2022 |
Pengfei LiuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
