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With the advances in deep learning, tremendous progress has been made with chit-chat dialogue systems and task-oriented dialogue systems.
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Sanh, V.; Debut, L.; Chaumond, J.; and Wolf, T. 2019 · 1910
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HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Wolf, T.; Debut, L.; Sanh, V.; Chaumond, J.; Delangue, C.; Moi, A.; Cistac, P.; Rault, T.; Louf, R.; Funtowicz, M.; and Brew, J. 2019 · 1910
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Towards a Human-like Open-Domain Chatbot
Adiwardana, D.; Luong, M.; So, D. R.; Hall, J.; Fiedel, N.; Thoppilan, R.; Yang, Z.; Kulshreshtha, A.; Nemade, G.; Lu, Y.; and Le, Q. V. 2020 · 2001
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Attention over Parameters for Dialogue Systems
Madotto, A.; Lin, Z.; Wu, C.; Shin, J.; and Fung, P. 2020 · 2001
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Bleu: a Method for Automatic Evaluation of Machine Translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W. 2002 · 2002
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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. 2020 · 2006
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POMDP-Based Statistical Spoken Dialog Systems: A Review
Young, S. J.; Gasic, M.; Thomson, B.; and Williams, J. D. 2013 · 2013
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Likert Scale: Explored and Explained
Joshi, A.; Kale, S.; Chandel, S.; and Pal, D. 2015 · 2015
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A Diversity-Promoting Objective Function for Neural Conversation Models
Li, J.; Galley, M.; Brockett, C.; Gao, J.; and Dolan, B. 2016 · 2016
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Kaiser, L.; Gomez, A. N.; Shazeer, N.; Vaswani, A.; Parmar, N.; Jones, L.; and Uszkoreit, J. 2017 · 2017
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Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability
Zhao, T.; Lu, A.; Lee, K.; and Eskenazi, M. 2017 · 2017
Cited alongside, same era.
MultiWOZ-A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Budzianowski, P.; Wen, T.-H.; Tseng, B.-H.; Casanueva, I.; Ultes, S.; Ramadan, O.; and Gasic, M. 2018 · 2018
Cited alongside, same era.
A Simple Language Model for Task-Oriented Dialogue
Hosseini-Asl, E.; McCann, B.; Wu, C.; Yavuz, S.; and Socher, R. 2020 · 2020
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DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
Zhang, Y.; Sun, S.; Galley, M.; Chen, Y.; Brockett, C.; Gao, X.; Gao, J.; Liu, J.; and Dolan, B. 2020 · 2020
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Condition Aware and Revise Transformer for Question Answering
Zhao, X.; Xiao, F.; Zhong, H.; Yao, J.; and Chen, H. 2020 · 2020
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The Adapter-Bot: All-In-One Controllable Conversational Model
Lin, Z.; Madotto, A.; Bang, Y.; and Fung, P. 2021 · 2021
Closest in time.
Recipes for Building an Open-Domain Chatbot
Roller, S.; Dinan, E.; Goyal, N.; Ju, D.; Williamson, M.; Liu, Y.; Xu, J.; Ott, M.; Smith, E. M.; Boureau, Y.; and Weston, J. 2021 · 2021
Closest in time.
Adding Chit-Chat to Enhance Task-Oriented Dialogues
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Zhou, H.; Huang, M.; Zhang, T.; Zhu, X.; and Liu, B. 2018 · 2018
Cited alongside, same era.
Decoupled Weight Decay Regularization
Loshchilov, I.; and Hutter, F. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; Sutskever, I.; et al. 2019 · 2019
Cited alongside, same era.
Sun, K.; Moon, S.; Crook, P. A.; Roller, S.; Silvert, B.; Liu, B.; Wang, Z.; Liu, H.; Cho, E.; and Cardie, C. 2021 · 2021
Closest in time.
UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2
Yang, Y.; Li, Y.; and Quan, X. 2021 · 2021
Closest in time.