| Summeval: Re-evaluating summarization evaluation AR Fabbri, W Kryściński, B McCann, C Xiong, R Socher, D Radev Transactions of the Association for Computational Linguistics 9, 391-409, 2021 | 618 | 2021 |
| Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model AR Fabbri, I Li, T She, S Li, DR Radev arXiv preprint arXiv:1906.01749, 2019 | 534 | 2019 |
| Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev Proceedings of the AAAI conference on artificial intelligence 33 (01), 7386-7393, 2019 | 221 | 2019 |
| QAFactEval: Improved QA-based factual consistency evaluation for summarization AR Fabbri, CS Wu, W Liu, C Xiong arXiv preprint arXiv:2112.08542, 2021 | 152 | 2021 |
| Improving zero and few-shot abstractive summarization with intermediate fine-tuning and data augmentation AR Fabbri, S Han, H Li, H Li, M Ghazvininejad, S Joty, D Radev, ... arXiv preprint arXiv:2010.12836, 2020 | 100 | 2020 |
| Sarcasm analysis using conversation context D Ghosh, AR Fabbri, S Muresan Computational Linguistics 44 (4), 755-792, 2018 | 98 | 2018 |
| Template-based question generation from retrieved sentences for improved unsupervised question answering AR Fabbri, P Ng, Z Wang, R Nallapati, B Xiang arXiv preprint arXiv:2004.11892, 2020 | 94 | 2020 |
| The role of conversation context for sarcasm detection in online interactions D Ghosh, AR Fabbri, S Muresan arXiv preprint arXiv:1707.06226, 2017 | 90 | 2017 |
| Cosql: A conversational text-to-sql challenge towards cross-domain natural language interfaces to databases T Yu, R Zhang, HY Er, S Li, E Xue, B Pang, XV Lin, YC Tan, T Shi, Z Li, ... arXiv preprint arXiv:1909.05378, 2019 | 88 | 2019 |
| 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, ... arXiv preprint arXiv:2212.07981, 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 |
| Understanding factual errors in summarization: Errors, summarizers, datasets, error detectors L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yavuz, W Kryściński, ... arXiv preprint arXiv:2205.12854, 2022 | 64 | 2022 |
| ConvoSumm: Conversation summarization benchmark and improved abstractive summarization with argument mining AR Fabbri, F Rahman, I Rizvi, B Wang, H Li, Y Mehdad, D Radev arXiv preprint arXiv:2106.00829, 2021 | 61 | 2021 |
| What should i learn first: Introducing lecturebank for nlp education and prerequisite chain learning I Li, AR Fabbri, RR Tung, DR Radev Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6674-6681, 2019 | 60 | 2019 |
| Tutorialbank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation AR Fabbri, I Li, P Trairatvorakul, Y He, WT Ting, R Tung, C Westerfield, ... arXiv preprint arXiv:1805.04617, 2018 | 51 | 2018 |
| Exploring neural models for query-focused summarization J Vig, AR Fabbri, W Kryściński, CS Wu, W Liu arXiv preprint arXiv:2112.07637, 2021 | 43 | 2021 |
| 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 |
| Prompted opinion summarization with GPT-3.5 A Bhaskar, AR Fabbri, G Durrett arXiv preprint arXiv:2211.15914, 2022 | 37 | 2022 |
| Practical guide to natural language processing for radiology A Mozayan, AR Fabbri, M Maneevese, I Tocino, S Chheang RadioGraphics 41 (5), 1446-1453, 2021 | 36 | 2021 |
| Bidimensional leaderboards: Generate and evaluate language hand in hand J Kasai, K Sakaguchi, RL Bras, L Dunagan, J Morrison, AR Fabbri, Y Choi, ... arXiv preprint arXiv:2112.04139, 2021 | 35 | 2021 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
