[47] Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, and Soujanya Poria. Cider: Commonsense inference for dialogue explanation and reasoning. In Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021.
[48] Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, and Xiang Ren. Probing commonsense explanation in dialogue response generation. In Annual Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. 4
[49] Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. Roberta: A robustly optimized bert pretraining approach. 2019. 5, 17, 18
[50] Yunxiang Zhang and Xiaojun Wan. Mover: Mask, over-generate and rank for hyperbole generation. In Annual Meeting of the Association for Computational Linguistics (ACL), 2022. 5
[51] Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. Bertscore: Evaluating text generation with bert. In Annual Meeting of the Association for Computational Linguistics (ACL), 2020. 5, 7, 18
[52] Marti A. Hearst. Texttiling: Segmenting text into multi-paragraph subtopic passages. Comput. Linguist., 23(1):33–64, mar 1997. ISSN 0891-2017. 5
[53] Nils Reimers and Iryna Gurevych. Sentence-bert: Sentence embeddings using siamese bert-networks. In Annual Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 11 2019. 7
[54] Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In Annual Meeting of the Association for Computational Linguistics (ACL), 2019. 8
[55] Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. Exploring the limits of transfer learning with a unified text-to-text transformer. In Journal of Machine Learning Research (JMLR), 2020. 8, 9
[56] Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, and Hannaneh Hajishirzi. Unifiedqa: Crossing format boundaries with a single qa system. In Annual Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. 8
[57] Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. mT5: A massively multilingual pre-trained text-to-text transformer. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pages 483-498, Online, June 2021. Association for Computational Linguistics. 8
[58] Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, and Yossi Matias. TRUE: Re-evaluating factual consistency evaluation. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pages 3905-3920, Seattle, United States, July 2022. Association for Computational Linguistics. 9
[59] Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. A large annotated corpus for learning natural language inference. In Annual Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015. 9
[60] Bill MacCartney and Christopher D. Manning. Modeling semantic containment and exclusion in natural language inference. In International Conference on Computational Linguistics (COLING), pages 521-528, Manchester, UK, August 2008. Coling 2008 Organizing Committee. 9
[61] Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. Deberta: Decoding-enhanced bert with disentangled attention. In International Conference on Learning Representations (ICLR), 2021. 9, 18
[62] Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. Large language models are zero-shot reasoners. In Advances in Neural Information Processing Systems (NeurIPS), 2023. 10
[63] Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert Hawkins, and Yoav Artzi. Abstract visual reasoning with tangram shapes. In Annual Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 582-601, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics. 10