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We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
TransferTransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019 · 1901
Earlier work this paper cites.
Consistent dialogue generation with self-supervised feature learning
Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, and Bill Dolan. 2019 · 1903
Earlier work this paper cites.
Investigating evaluation of open-domain dialogue systems with human generated multiple references
Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskenazi, and Jeffrey P Bigham. 2019 · 1907
Earlier work this paper cites.
Multi-turn dialogue response generation with autoregressive transformer models
Oluwatobi Olabiyi and Erik T Mueller. 2019 · 1908
Earlier work this paper cites.
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. 2019 · 1910
Earlier work this paper cites.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
Earlier work this paper cites.
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
George Doddington. 2002 · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Meteor: An automatic metric for mt evaluation with high levels of correlation with human judgments
Alon Lavie and Abhaya Agarwal. 2007 · 2007
Earlier work this paper cites.
Neural machine translation of rare words with subword units
R. Sennrich, B. Haddow, and A. Birch. 2016 · 2016
Cited alongside, same era.
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A. H. Miller, W. Feng, A. Fisch, J. Lu, D. Batra, A. Bordes, D. Parikh, and J. Weston. 2017 · 2017
Cited alongside, same era.
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Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
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M. Burtsev, A. Seliverstov, R. Airapetyan, M. Arkhipov, D. Baymurzina, N. Bushkov, O. Gureenkova, T. Khakhulin, Y. Kuratov, D. Kuznetsov, A. Litinsky, V. Logacheva, A. Lymar, V. Malykh, M. Petrov, V. Polulyakh, L. Pugachev, A. Sorokin, M. Vikhreva, and M. Zaynutdinov. 2018 · 2018
Cited alongside, same era.
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Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, and Bill Dolan. 2018 · 2018
Later among the works it cites.
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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The second conversational intelligence challenge (ConvAI2)
E. Dinan, V. Logacheva, V. Malykh, A. Miller, K. Shuster, J. Urbanek, D. Kiela, A. Szlam, I. Serban, R. Lowe, S. Prabhumoye, A. W. Black, A. Rudnicky, J. Williams, J. Pineau, M. Burtsev, and J. Weston. 2019 · 2019
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M. Gardner, J. Grus, M. Neumann, O. Tafjord, P. Dasigi, N. F. Liu, M. Peters, M. Schmitz, and L. S. Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Texar: A modularized, versatile, and extensible toolkit for text generation
Z. Hu, H. Shi, Z. Yang, B. Tan, T. Zhao, J. He, W. Wang, L. Qin, D. Wang, et al. 2018 · 2018
Cited alongside, same era.
Deep contextualized word representations
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer. 2018 · 2018
Cited alongside, same era.
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A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever. 2018 · 2018
Cited alongside, same era.
Neural approaches to conversational AI
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Cited in the paper.
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Cited in the paper.
A diversity-promoting objective function for neural conversation models
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