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While Chain-of-Thought prompting is popular in reasoning tasks, its application to Large Language Models (LLMs) in Natural Language Understanding (NLU) is under-explored.
SlotRefine: A fast non-autoregressive model for joint intent detection and slot filling
Di Wu, Liang Ding, Fan Lu, and Jian Xie. 2020 · 1937
Earlier work this paper cites.
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Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, and Philip Yu. 2020 · 2004
Earlier work this paper cites.
Abstract meaning representation for sembanking
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Earlier work this paper cites.
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Earlier work this paper cites.
Cross-lingual genre classification using linguistic groupings
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Joint slot filling and intent detection via capsule neural networks
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SLURP: A spoken language understanding resource package
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Earlier work this paper cites.
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Earlier work this paper cites.
Dynamic semantic matching and aggregation network for few-shot intent detection
Hoang Nguyen, Chenwei Zhang, Congying Xia, and S Yu Philip. 2020 · 2020
Earlier work this paper cites.
Sg-net: Syntax-guided machine reading comprehension
Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, and Rui Wang. 2020 · 2020
Earlier work this paper cites.
Syntax-BERT: Improving pre-trained transformers with syntax trees
Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, and Yunhai Tong. 2021 · 2021
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MTOP: A comprehensive multilingual task-oriented semantic parsing benchmark
Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, and Yashar Mehdad. 2021 · 2021
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Syntax-enhanced pre-trained model
Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, and Nan Duan. 2021 · 2021
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A robustly optimized bert pre-training approach with post-training
Liu Zhuang, Lin Wayne, Shi Ya, and Zhao Jun. 2021 · 2021
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 2022
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou. 2022 · 2022
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A survey of joint intent detection and slot filling models in natural language understanding
Henry Weld, Xiaoqi Huang, Siqu Long, Josiah Poon, and Soyeon Caren Han. 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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Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gokhan Tur, and Prem Natarajan. 2022 · 2022
Cited alongside, same era.
Complexity-based prompting for multi-step reasoning
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, and Tushar Khot. 2022 · 2022
Cited alongside, same era.
Demonstrate-search-predict: Composing retrieval and language models for knowledge-intensive nlp
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Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, and Min-Yen Kan. 2022 · 2022
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AMR-DA: Data augmentation by Abstract Meaning Representation
Ziyi Shou, Yuxin Jiang, and Fangzhen Lin. 2022 · 2022
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A survey on semantic parsing
Aishwarya Kamath and Rajarshi Das
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Slot induction via pre-trained language model probing and multi-level contrastive learning
Hoang Nguyen, Chenwei Zhang, Ye Liu, and Philip Yu. 2023a
Cited in the paper.
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
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Least-to-most prompting enables complex reasoning in large language models
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V Le, et al. 2022 · 2022
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Emergent abilities of large language models
Barret Zoph, Colin Raffel, Dale Schuurmans, Dani Yogatama, Denny Zhou, Don Metzler, Ed H. Chi, Jason Wei, Jeff Dean, Liam B. Fedus, Maarten Paul Bosma, Oriol Vinyals, Percy Liang, Sebastian Borgeaud, Tatsunori B. Hashimoto, and Yi Tay. 2022 · 2022
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Enhancing cross-lingual transfer via phonemic transcription integration
Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, and Philip Yu. 2023b · 2023
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Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim. 2023 · 2023
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XQA-DST: Multi-domain and multi-lingual dialogue state tracking
Han Zhou, Ignacio Iacobacci, and Pasquale Minervini. 2023 · 2023
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