Fetching the paper…
Reading the bibliography…
Personalized dialogue systems explore the problem of generating responses that are consistent with the user's personality, which has raised much attention in recent years.
An adversarial learning framework for A persona-based multi-turn dialogue model
Oluwatobi Olabiyi, Anish Khazane, Alan Salimov, and Erik T. Mueller. 2019 · 1905
Earlier work this paper cites.
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. 2019b · 1911
Earlier work this paper cites.
Modeling personalization in continuous space for response generation via augmented wasserstein autoencoders
Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, and Rui Yan. 2019 · 1940
Earlier work this paper cites.
Variational hierarchical user-based conversation model
JinYeong Bak and Alice Oh. 2019 · 1950
Earlier work this paper cites.
Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval
Stephen E. Robertson and Steve Walker. 1994 · 1994
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.
If I hear you correctly: Building and evaluating interview chatbots with active listening skills
Ziang Xiao, Michelle X. Zhou, Wenxi Chen, Huahai Yang, and Chang Yan Chi. 2020 · 2002
Earlier work this paper cites.
Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003 · 2003
Earlier work this paper cites.
Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics
Chin-Yew Lin and Franz Josef Och. 2004 · 2004
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Earlier work this paper cites.
Oriol Vinyals and Quoc V. Le. 2015 · 2015
Earlier work this paper cites.
Conversational contextual cues: The case of personalization and history for response ranking
Rami Al-Rfou, Marc Pickett, Javier Snaider, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2016 · 2016
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016b · 2016
Cited alongside, same era.
A persona-based neural conversation model
Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, and William B. Dolan. 2016c · 2016
Cited alongside, same era.
Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Later among the works it cites.
Exploiting persona information for diverse generation of conversational responses
Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, and Ting Liu. 2019 · 2019
Later among the works it cites.
Response generation by context-aware prototype editing
Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, and Ming Zhou. 2019 · 2019
Later among the works it cites.
A hybrid retrieval-generation neural conversation model
Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, and Jingjing Liu. 2019 · 2019
Later among the works it cites.
Recosa: Detecting the relevant contexts with self-attention for multi-turn dialogue generation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Topic aware neural response generation
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, and Wei-Ying Ma. 2017 · 2017
Cited alongside, same era.
Learning discourse-level diversity for neural dialog models using conditional variational autoencoders
Tiancheng Zhao, Ran Zhao, and Maxine Eskénazi. 2017 · 2017
Cited alongside, same era.
Delete, retrieve, generate: a simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018 · 2018
Cited alongside, same era.
Assigning personality/profile to a chatting machine for coherent conversation generation
Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. 2018 · 2018
Cited alongside, same era.
Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Cited alongside, same era.
Retrieval-guided dialogue response generation via a matching-to-generation framework
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, and Shuming Shi. 2019 · 2019
Cited alongside, same era.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, and Xueqi Cheng. 2019a · 2019
Later among the works it cites.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
Later among the works it cites.
Speaker or listener? the role of a dialogue agent
Ya-Fei Liu, Hongjin Qian, Hengpeng Xu, and Jinmao Wei. 2020 · 2020
Later among the works it cites.
Reboost: a retrieval-boosted sequence-to-sequence model for neural response generation
Yutao Zhu, Zhicheng Dou, Jian-Yun Nie, and Ji-Rong Wen. 2020 · 2020
Later among the works it cites.
Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2021 · 2021
Later among the works it cites.
One chatbot per person: Creating personalized chatbots based on implicit user profiles
Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, and Ji-Rong Wen. 2021 · 2021
Later among the works it cites.
Pchatbot: A large-scale dataset for personalized chatbot
Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, and Ji-Rong Wen. 2021b · 2021
Later among the works it cites.