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Cross-task knowledge transfer via multi-task learning has recently made remarkable progress in general NLP tasks.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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UNIFIEDQA: Crossing format boundaries with a single QA system
Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, and Hannaneh Hajishirzi. 2020 · 1907
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, and Jian Yin. 2020 · 2004
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Simulating action dynamics with neural process networks
Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, and Yejin Choi. 2018 · 2018
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Tracking state changes in procedural text: a challenge dataset and models for process paragraph comprehension
Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, and Peter Clark. 2018 · 2018
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Looking beyond the surface: A challenge set for reading comprehension over multiple sentences
Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, and Dan Roth. 2018 · 2018
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Reasoning about actions and state changes by injecting commonsense knowledge
Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, and Peter Clark. 2018 · 2018
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Record: Bridging the gap between human and machine commonsense reading comprehension
Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, and Benjamin Van Durme. 2018 · 2018
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BoolQ: Exploring the surprising difficulty of natural yes/no questions
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Effective use of transformer networks for entity tracking
Aditya Gupta and Greg Durrett. 2019a · 2019
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Entity-relation extraction as multi-turn question answering
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, and Jiwei Li. 2019 · 2019
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Procedural reading comprehension with attribute-aware context flow
Aida Amini, Antoine Bosselut, Bhavana Dalvi, Yejin Choi, and Hannaneh Hajishirzi. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Reasoning over entity-action-location graph for procedural text understanding
Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, and Daxin Jiang. 2021 · 2021
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Time-stamped language model: Teaching language models to understand the flow of events
Hossein Rajaby Faghihi and Parisa Kordjamshidi. 2021 · 2021
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Process-level representation of scientific protocols with interactive annotation
Ronen Tamari, Fan Bai, Alan Ritter, and Gabriel Stanovsky. 2021 · 2021
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Knowledge-aware procedural text understanding with multi-stage training
Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, and Daxin Jiang. 2021 · 2021
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Ext5: Towards extreme multi-task scaling for transfer learning
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, and Donald Metzler. 2022 · 2022
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A supervised word alignment method based on cross-language span prediction using multilingual BERT
Masaaki Nagata, Katsuki Chousa, and Masaaki Nishino. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Understanding procedural text using interactive entity networks
Jizhi Tang, Yansong Feng, and Dongyan Zhao. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Pre-train or annotate? domain adaptation with a constrained budget
Fan Bai, Alan Ritter, and Wei Xu. 2021 · 2021
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Tracking discrete and continuous entity state for process understanding
Aditya Gupta and Greg Durrett. 2019b
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SynKB: Semantic search for synthetic procedures
Fan Bai, Alan Ritter, Peter Madrid, Dayne Freitag, and John Niekrasz. 2022 · 2022
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Few-shot anaphora resolution in scientific protocols via mixtures of in-context experts
Nghia T. Le, Fan Bai, and Alan Ritter. 2022 · 2022
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Coalescing global and local information for procedural text understanding
Kaixin Ma, Filip Ilievski, Jonathan Francis, Eric Nyberg, and Alessandro Oltramari. 2022 · 2022
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Lemon: Language-based environment manipulation via execution-guided pre-training
Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, and Jian-Guang Lou. 2022 · 2022
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Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models
Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, and Tao Yu. 2022 · 2022
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