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In recent years, Dialogue-style Large Language Models (LLMs) such as ChatGPT and GPT4 have demonstrated immense potential in constructing open-domain dialogue agents.
Transfertransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019 · 1901
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Personalized dialogue generation with diversified traits
Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, and Xuan Zhu. 2019 · 1901
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Language models are few-shot learners
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Towards data distillation for end-to-end spoken conversational question answering
Chenyu You, Nuo Chen, Fenglin Liu, Dongchao Yang, and Yuexian Zou. 2020 · 2010
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Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs
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A persona-based neural conversation model
Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, and William B. Dolan. 2016 · 2016
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Exploring personalized neural conversational models
Satwik Kottur, Xiaoyu Wang, and Vítor Carvalho. 2017 · 2017
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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
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Wizard of wikipedia: Knowledge-powered conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. 2019 · 2019
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Friendsqa: Open-domain question answering on TV show transcripts
Zhengzhe Yang and Jinho D. Choi. 2019 · 2019
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Neural personalized response generation as domain adaptation
Wei-Nan Zhang, Qingfu Zhu, Yifa Wang, Yanyan Zhao, and Ting Liu. 2019 · 2019
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A pre-training based personalized dialogue generation model with persona-sparse data
Yinhe Zheng, Rongsheng Zhang, Minlie Huang, and Xiaoxi Mao. 2020 · 2019
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Profile consistency identification for open-domain dialogue agents
Haoyu Song, Yan Wang, Weinan Zhang, Zhengyu Zhao, Ting Liu, and Xiaojiang Liu. 2020 · 2020
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Self-supervised dialogue learning for spoken conversational question answering
Glm-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, et al. 2022 · 2022
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Orca: A few-shot benchmark for chinese conversational machine reading comprehension
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Enhancing chat language models by scaling high-quality instructional conversations
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Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, and Scott A Hale. 2023 · 2023
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Nuo Chen, Chenyu You, and Yuexian Zou. 2021 · 2021
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Lora: Low-rank adaptation of large language models
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Call for customized conversation: Customized conversation grounding persona and knowledge
Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Dong-Hoon Shin, Seungryong Kim, and Heuiseok Lim. 2021 · 2021
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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. 2021 · 2021
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Self-supervised contrastive cross-modality representation learning for spoken question answering
Chenyu You, Nuo Chen, and Yuexian Zou. 2021 · 2021
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Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, and Hinrich Schütze. 2023 · 2023
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Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, and Jianfeng Gao. 2023 · 2023
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Lamp: When large language models meet personalization
Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2023 · 2023
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Improving retrieval-based dialogue system via syntax-informed attention
Tengtao Song, Nuo Chen, Ji Jiang, Zhihong Zhu, and Yuexian Zou. 2023 · 2023
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