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To facilitate zero-shot generalization in taskoriented dialog, this paper proposes Language Models as Data (LAD).
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, et al. 2020 · 1901
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Benchmarking natural language understanding services for building conversational agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski, and Verena Rieser. 2019a · 1903
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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. 2019b · 1907
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How to build user simulators to train rl-based dialog systems
Weiyan Shi, Kun Qian, Xuewei Wang, and Zhou Yu. 2019 · 1909
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Dialogpt: Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2019 · 1911
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Distributional structure
Zellig S Harris. 1954 · 1954
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The need for biases in learning generalizations
Tom M Mitchell. 1980 · 1980
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User modeling for spoken dialogue system evaluation
Wieland Eckert, Esther Levin, and Roberto Pieraccini. 1997 · 1997
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Probabilistic simulation of human-machine dialogues
Konrad Scheffler and Steve Young. 2000 · 2000
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Efficient intent detection with dual sentence encoders
Inigo Casanueva, Tadas Temčinas, Daniela Gerz, Matthew Henderson, and Ivan Vulić. 2020 · 2003
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Coach: A coarse-to-fine approach for cross-domain slot filling
Zihan Liu, Genta Indra Winata, Peng Xu, and Pascale Fung. 2020 · 2004
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Span-convert: Few-shot span extraction for dialog with pretrained conversational representations
Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulić, and Matthew Henderson. 2020 · 2005
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Soloist: Few-shot task-oriented dialog with a single pretrained auto-regressive model
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, and Jianfeng Gao. 2020 · 2005
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User simulation for spoken dialogue systems: learning and evaluation
Kallirroi Georgila, James Henderson, and Oliver Lemon. 2006 · 2006
Cited alongside, same era.
A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies
Jost Schatzmann, Karl Weilhammer, Matt Stuttle, and Steve Young. 2006 · 2006
Cited alongside, same era.
Agenda-based user simulation for bootstrapping a pomdp dialogue system
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young. 2007 · 2007
Cited alongside, same era.
Dialoglue: A natural language understanding benchmark for task-oriented dialogue
Shikib Mehri, Mihail Eric, and Dilek Hakkani-Tur. 2020 · 2009
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Cooperative user models in statistical dialog simulators
Meritxell González, Silvia Quarteroni, Giuseppe Riccardi, and Sebastian Varges. 2010 · 2010
Cited alongside, same era.
Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan. 2020 · 2020
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A survey of data augmentation approaches for nlp
Steven Y Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy. 2021 · 2021
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
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Domain-independent user simulation with transformers for task-oriented dialogue systems
Hsien-chin Lin, Nurul Lubis, Songbo Hu, Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, and Milica Gašić. 2021 · 2021
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Matthew Henderson and Ivan Vulić. 2020 · 2010
Cited alongside, same era.
Star: A schema-guided dialog dataset for transfer learning
Johannes EM Mosig, Shikib Mehri, and Thomas Kober. 2020 · 2010
Cited alongside, same era.
A user simulator for task-completion dialogues
Xiujun Li, Zachary C Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. 2016 · 2016
Cited alongside, same era.
Sequence to sequence modeling for user simulation in dialog systems
Paul A Crook and Alex Marin. 2017 · 2017
Cited alongside, same era.
Multiwoz–a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Inigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Neural user simulation for corpus-based policy optimisation for spoken dialogue systems
Florian Kreyssig, Inigo Casanueva, Pawel Budzianowski, and Milica Gasic. 2018 · 2018
Cited alongside, same era.
Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, and Pascale Fung. 2021 · 2021
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Example-driven intent prediction with observers
Shikib Mehri and Mihail Eric. 2021 · 2021
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Prompt programming for large language models: Beyond the few-shot paradigm
Laria Reynolds and Kyle McDonell. 2021 · 2021
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Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, and Douwe Kiela. 2021 · 2021
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Towards zero-label language learning
Zirui Wang, Adams Wei Yu, Orhan Firat, and Yuan Cao. 2021 · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
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Gpt3mix: Leveraging large-scale language models for text augmentation
Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, and Woomyeong Park. 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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