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In this work, we explore the application of PLATO-2 on various dialogue systems, including open-domain conversation, knowledge grounded dialogue, and task-oriented conversation.
Towards a Human-like Open-Domain Chatbot
Adiwardana, D.; Luong, M.-T.; So, D. R.; Hall, J.; Fiedel, N.; Thoppilan, R.; Yang, Z.; Kulshreshtha, A.; Nemade, G.; Lu, Y.; et al. 2020 · 2001
Earlier work this paper cites.
Recipes for building an open-domain chatbot
Roller, S.; Dinan, E.; Goyal, N.; Ju, D.; Williamson, M.; Liu, Y.; Xu, J.; Ott, M.; Shuster, K.; Smith, E. M.; et al. 2020 · 2004
Earlier work this paper cites.
Language Models are Few-Shot Learners
Brown, T. B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al. 2020 · 2005
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SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model
Peng, B.; Li, C.; Li, J.; Shayandeh, S.; Liden, L.; and Gao, J. 2020 · 2005
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PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
Bao, S.; He, H.; Wang, F.; Wu, H.; Wang, H.; Wu, W.; Guo, Z.; Liu, Z.; and Xu, X. 2020b · 2006
Earlier work this paper cites.
Recipes for Safety in Open-domain Chatbots
Xu, J.; Ju, D.; Li, M.; Boureau, Y.-L.; Weston, J.; and Dinan, E. 2020 · 2010
Earlier work this paper cites.
Overview of the Ninth Dialog System Technology Challenge: DSTC9
Gunasekara, C.; Kim, S.; D’Haro, L. F.; Rastogi, A.; Chen, Y.-N.; Eric, M.; Hedayatnia, B.; Gopalakrishnan, K.; Liu, Y.; Huang, C.-W.; Hakkani-Tür, D.; Li, J.; Zhu, Q.; Luo, L.; Liden, L.; Huang, K.; Shayandeh, S.; Liang, R.; Peng, B.; Zhang, Z.; Shukla, S.; Huang, M.; Gao, J.; Mehri, S.; Feng, Y.; Gordon, C.; Alavi, S. H.; Traum, D.; Eskenazi, M.; Beirami, A.; Eunjoon; Cho; Crook, P. A.; De, A.; Geramifard, A.; Kottur, S.; Moon, S.; Poddar, S.; and Subba, R. 2020 · 2011
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POMDP-Based Statistical Spoken Dialog Systems: A Review
Young, S.; Gašić, M.; Thomson, B.; and Williams, J. D. 2013 · 2013
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The Second Dialog State Tracking Challenge
Henderson, M.; Thomson, B.; and Williams, J. D. 2014 · 2014
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Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Wen, T.-H.; Gasic, M.; Mrkšić, N.; Su, P.-H.; Vandyke, D.; and Young, S. 2015 · 2015
Earlier work this paper cites.
DialPort: Connecting the Spoken Dialog Research Community to Real User Data
Zhao, T.; Lee, K.; and Eskenazi, M. 2016 · 2016
Cited alongside, same era.
Categorical Reparameterization with Gumbel-Softmax
Jang, E.; Gu, S.; and Poole, B. 2017 · 2017
Cited alongside, same era.
Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
A Network-based End-to-End Trainable Task-oriented Dialogue System
Wen, T.-H.; Vandyke, D.; Mrkšić, N.; Gasic, M.; Barahona, L. M. R.; Su, P.-H.; Ultes, S.; and Young, S. 2017 · 2017
Cited alongside, same era.
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Zhao, T.; Zhao, R.; and Eskenazi, M. 2017 · 2017
Cited alongside, same era.
Wizard of Wikipedia: Knowledge-Powered Conversational Agents
Dinan, E.; Roller, S.; Shuster, K.; Fan, A.; Auli, M.; and Weston, J. 2018 · 2018
Unified Language Model Pre-training for Natural Language Understanding and Generation
Dong, L.; Yang, N.; Wang, W.; Wei, F.; Liu, X.; Wang, Y.; Gao, J.; Zhou, M.; and Hon, H.-W. 2019 · 2019
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Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Gopalakrishnan, K.; Hedayatnia, B.; Chen, Q.; Gottardi, A.; Kwatra, S.; Venkatesh, A.; Gabriel, R.; and Hakkani-Tür, D. 2019 · 2019
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Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Kim, B.; Ahn, J.; and Kim, G. 2019 · 2019
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Language Models are Unsupervised Multitask Learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
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MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines
Eric, M.; Goel, R.; Paul, S.; Sethi, A.; Agarwal, S.; Gao, S.; Kumar, A.; Goyal, A.; Ku, P.; and Hakkani-Tur, D. 2020 · 2020
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Cited alongside, same era.
Hierarchical Neural Story Generation
Fan, A.; Lewis, M.; and Dauphin, Y. 2018 · 2018
Cited alongside, same era.
Neural Approaches to Conversational AI
Gao, J.; Galley, M.; and Li, L. 2018 · 2018
Cited alongside, same era.
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Zhang, S.; Dinan, E.; Urbanek, J.; Szlam, A.; Kiela, D.; and Weston, J. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
Bao, S.; He, H.; Wang, F.; Wu, H.; and Wang, H. 2020a
Cited in the paper.
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2
Ham, D.; Lee, J.-G.; Jang, Y.; and Kim, K.-E. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P.; Perez, E.; Piktus, A.; Petroni, F.; Karpukhin, V.; Goyal, N.; Küttler, H.; Lewis, M.; Yih, W.-t.; Rocktäschel, T.; et al. 2020 · 2020
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How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Roberts, A.; Raffel, C.; and Shazeer, N. 2020 · 2020
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DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Zhang, Y.; Sun, S.; Galley, M.; Chen, Y.-C.; Brockett, C.; Gao, X.; Gao, J.; Liu, J.; and Dolan, B. 2020 · 2020
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ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
Zhu, Q.; Zhang, Z.; Fang, Y.; Li, X.; Takanobu, R.; Li, J.; Peng, B.; Gao, J.; Zhu, X.; and Huang, M. 2020 · 2020
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