| BRIO: Bringing order to abstractive summarization Y Liu, P Liu, D Radev, G Neubig In Proceedings of the 60th Annual Meeting of the Association for …, 2022 | 263 | 2022 |
| Simcls: A simple framework for contrastive learning of abstractive summarization Y Liu, P Liu In Proceedings of the 59th Annual Meeting of the Association for …, 2021 | 256 | 2021 |
| Revisiting the gold standard: Grounding summarization evaluation with robust human evaluation Y Liu, AR Fabbri, P Liu, Y Zhao, L Nan, R Han, S Han, S Joty, CS Wu, ... In Proceedings of the 61st Annual Meeting of the Association for …, 2022 | 83 | 2022 |
| Folio: Natural language reasoning with first-order logic S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, W Zhou, J Coady, D Peng, ... arXiv preprint arXiv:2209.00840, 2022 | 76 | 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, ... In Proceedings of the 59th Annual Meeting of the Association for …, 2021 | 61 | 2021 |
| On learning text style transfer with direct rewards Y Liu, G Neubig, J Wieting In Proceedings of the 2021 Conference of the North American Chapter of the …, 2020 | 47 | 2020 |
| On learning to summarize with large language models as references Y Liu, K Shi, KS He, L Ye, AR Fabbri, P Liu, D Radev, A Cohan arXiv preprint arXiv:2305.14239, 2023 | 40 | 2023 |
| Refsum: Refactoring neural summarization Y Liu, ZY Dou, P Liu In Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 37 | 2021 |
| On improving summarization factual consistency from natural language feedback Y Liu, B Deb, M Teruel, A Halfaker, D Radev, AH Awadallah In Proceedings of the 61st Annual Meeting of the Association for …, 2022 | 28 | 2022 |
| Leveraging locality in abstractive text summarization Y Liu, A Ni, L Nan, B Deb, C Zhu, AH Awadallah, D Radev In Proceedings of the 2022 Conference on Empirical Methods in Natural …, 2022 | 27 | 2022 |
| Benchmarking generation and evaluation capabilities of large language models for instruction controllable summarization Y Liu, AR Fabbri, J Chen, Y Zhao, S Han, S Joty, P Liu, D Radev, CS Wu, ... arXiv preprint arXiv:2311.09184, 2023 | 23 | 2023 |
| Improving large language model fine-tuning for solving math problems Y Liu, A Singh, CD Freeman, JD Co-Reyes, PJ Liu arXiv preprint arXiv:2310.10047, 2023 | 16 | 2023 |
| Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 15 | 2022 |
| R2D2: Robust Data-to-Text with Replacement Detection L Nan, LJY Flores, Y Zhao, Y Liu, L Benson, W Zou, D Radev In Proceedings of the 2022 Conference on Empirical Methods in Natural …, 2022 | 12 | 2022 |
| Datalab: A platform for data analysis and intervention Y Xiao, J Fu, W Yuan, V Viswanathan, Z Liu, Y Liu, G Neubig, P Liu In Proceedings of the 60th Annual Meeting of the Association for …, 2022 | 12 | 2022 |
| Towards interpretable and efficient automatic reference-based summarization evaluation Y Liu, AR Fabbri, Y Zhao, P Liu, S Joty, CS Wu, C Xiong, D Radev arXiv preprint arXiv:2303.03608, 2023 | 6 | 2023 |
| Needle in a haystack: An analysis of finding qualified workers on mturk for summarization L Zhang, J Sedoc, S Mille, Y Hou, S Gehrmann, D Deutsch, E Clark, Y Liu, ... Retrieved June 8, 2023, 2022 | 2 | 2022 |
| Training and Inference Methods for High-Coverage Neural Machine Translation M Yang, Y Liu, R Mayuranath Proceedings of the Fourth Workshop on Neural Generation and Translation, 119-128, 2020 | 1 | 2020 |
Pengfei LiuAssociate professor at Shanghai Jiao Tong UniversityVerified email at andrew.cmu.edu
