| BRIO: Bringing order to abstractive summarization Y Liu, P Liu, D Radev, G Neubig ACL 2022, 2022 | 311 | 2022 |
| Simcls: A simple framework for contrastive learning of abstractive summarization Y Liu, P Liu ACL 2021, 2021 | 283 | 2021 |
| Folio: Natural language reasoning with first-order logic S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, W Zhou, J Coady, D Peng, ... EMNLP 2024, 2022 | 123 | 2022 |
| 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, ... ACL 2023, 2022 | 106 | 2022 |
| 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 NAACL 2024, 2023 | 67 | 2023 |
| Explainaboard: An explainable leaderboard for nlp P Liu, J Fu, Y Xiao, W Yuan, S Chang, J Dai, Y Liu, Z Ye, ZY Dou, ... ACL 2021 System Demonstrations, 2021 | 66 | 2021 |
| On learning text style transfer with direct rewards Y Liu, G Neubig, J Wieting NAACL 2021, 2020 | 46 | 2020 |
| Refsum: Refactoring neural summarization Y Liu, ZY Dou, P Liu NAACL 2021, 2021 | 41 | 2021 |
| On improving summarization factual consistency from natural language feedback Y Liu, B Deb, M Teruel, A Halfaker, D Radev, AH Awadallah ACL 2023, 2022 | 39 | 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, ... Findings of the Association for Computational Linguistics: NAACL 2024, 2023 | 38 | 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 | 34 | 2023 |
| Leveraging locality in abstractive text summarization Y Liu, A Ni, L Nan, B Deb, C Zhu, AH Awadallah, D Radev EMNLP 2022, 2022 | 31 | 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 EMNLP 2023, 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 | 16 | 2022 |
| Calibrating Long-form Generations from Large Language Models Y Huang, Y Liu, R Thirukovalluru, A Cohan, B Dhingra EMNLP 2024 Findings, 2024 | 15 | 2024 |
| R2D2: Robust Data-to-Text with Replacement Detection L Nan, LJY Flores, Y Zhao, Y Liu, L Benson, W Zou, D Radev EMNLP 2022, 2022 | 14 | 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 ACL 2022 System Demonstrations, 2022 | 14 | 2022 |
| Fair Abstractive Summarization of Diverse Perspectives Y Zhang, N Zhang, Y Liu, A Fabbri, J Liu, R Kamoi, X Lu, C Xiong, J Zhao, ... NAACL 2024, 2023 | 10 | 2023 |
| Understanding reference policies in direct preference optimization Y Liu, P Liu, A Cohan arXiv preprint arXiv:2407.13709, 2024 | 5 | 2024 |
| ReIFE: Re-evaluating Instruction-Following Evaluation Y Liu, K Shi, AR Fabbri, Y Zhao, P Wang, CS Wu, S Joty, A Cohan arXiv preprint arXiv:2410.07069, 2024 | 3 | 2024 |
Pengfei LiuAssociate professor at Shanghai Jiao Tong UniversityE-mail megerősítve itt: andrew.cmu.edu