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Existing dialogue models may encounter scenarios which are not well-represented in the training data, and as a result generate responses that are unnatural, inappropriate, or unhelpful.
Language models are few-shot learners
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019a · 1904
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Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons
Margaret Li, Jason Weston, and Stephen Roller. 2019 · 1909
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Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
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Dialogpt: Large-scale generative pre-training for conversational response generation
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Towards a human-like open-domain chatbot
Daniel Adiwardana, Minh-Thang Luong, David R So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, et al. 2020 · 2001
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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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Doing empathy and sympathy: Caring responses to troubles tellings on a peer support line
Christopher Pudlinski. 2005 · 2005
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2006
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Verbal indicators of psychological distress in interactive dialogue with a virtual human
David DeVault, Kallirroi Georgila, Ron Artstein, Fabrizio Morbini, David Traum, Stefan Scherer, Albert Skip Rizzo, and Louis-Philippe Morency. 2013 · 2013
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Culture shapes empathic responses to physical and social pain
David Atkins, Ayse K Uskul, and Nicholas R Cooper. 2016 · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
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Deep reinforcement learning from human preferences
Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei. 2017 · 2017
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Key-value retrieval networks for task-oriented dialogue
Mihail Eric, Lakshmi Krishnan, Francois Charette, and Christopher D. Manning. 2017 · 2017
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Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (woebot): a randomized controlled trial
Kathleen Kara Fitzpatrick, Alison Darcy, and Molly Vierhile. 2017 · 2017
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DailyDialog: A manually labelled multi-turn dialogue dataset
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017 · 2017
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ParlAI: A dialog research software platform
Alexander Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, and Jason Weston. 2017 · 2017
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Using psychological artificial intelligence (tess) to relieve symptoms of depression and anxiety: randomized controlled trial
Russell Fulmer, Angela Joerin, Breanna Gentile, Lysanne Lakerink, Michiel Rauws, et al. 2018 · 2018
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Mem2Seq: Effectively incorporating knowledge bases into end-to-end task-oriented dialog systems
Andrea Madotto, Chien-Sheng Wu, and Pascale Fung. 2018 · 2018
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“suddenly, we got to become therapists for each other”: Designing peer support chats for mental health
Kathleen O’Leary, Stephen M. Schueller, Jacob O. Wobbrock, and Wanda Pratt. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018
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Augmenting end-to-end dialogue systems with commonsense knowledge
Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, and Minlie Huang. 2018 · 2018
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Know more about each other: Evolving dialogue strategy via compound assessment
Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, and Hua Wu. 2019 · 2019
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Caring for vincent: a chatbot for self-compassion
Minha Lee, Sander Ackermans, Nena Van As, Hanwen Chang, Enzo Lucas, and Wijnand IJsselsteijn. 2019 · 2019
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Language models as knowledge bases?
A robustly optimized BERT pre-training approach with post-training
Liu Zhuang, Lin Wayne, Shi Ya, and Zhao Jun. 2021 · 2021
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Langchain
Harrison Chase. 2022 · 2022
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Internet-augmented dialogue generation
Mojtaba Komeili, Kurt Shuster, and Jason Weston. 2022 · 2022
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Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, and Pontus Stenetorp. 2022 · 2022
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Reframing instructional prompts to GPTk’s language
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, and Hannaneh Hajishirzi. 2022a · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Towards empathetic open-domain conversation models: A new benchmark and dataset
Hannah Rashkin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau. 2019 · 2019
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Piqa: Reasoning about physical commonsense in natural language
Yonatan Bisk, Rowan Zellers, Jianfeng Gao, Yejin Choi, et al. 2020 · 2020
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End-to-end neural pipeline for goal-oriented dialogue systems using GPT-2
Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, and Kee-Eung Kim. 2020 · 2020
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Human-centric dialog training via offline reinforcement learning
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, and Rosalind Picard. 2020 · 2020
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Commonsense reasoning for natural language processing
Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, and Dan Roth. 2020 · 2020
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Knowledge inheritance for pre-trained language models
Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou. 2022 · 2022
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Blenderbot 3: a deployed conversational agent that continually learns to responsibly engage
Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, et al. 2022 · 2022
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Empathic validation in physician–patient communication: An approach to conveying empathy for problems with uncertain solutions
Caroline K Tietbohl. 2022 · 2022
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Towards an open-domain chatbot for language practice
Gladys Tyen, Mark Brenchley, Andrew Caines, and Paula Buttery. 2022 · 2022
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SaFeRDialogues: Taking feedback gracefully after conversational safety failures
Megan Ung, Jing Xu, and Y-Lan Boureau. 2022 · 2022
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Symbolic knowledge distillation: from general language models to commonsense models
Peter West, Chandra Bhagavatula, Jack Hessel, Jena Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, and Yejin Choi. 2022 · 2022
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Converse–a tree-based modular task-oriented dialogue system
Tian Xie, Xinyi Yang, Angela S Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, et al. 2022 · 2022
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Beyond goldfish memory: Long-term open-domain conversation
Jing Xu, Arthur Szlam, and Jason Weston. 2022 · 2022
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Chujie Zheng, Sahand Sabour, Jiaxin Wen, and Minlie Huang. 2022 · 2022
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Role of chat gpt in public health
Som S Biswas. 2023 · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. 2023 · 2023
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Chatgpt: Unlocking the future of nlp in finance
Adam Zaremba and Ender Demir. 2023 · 2023
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Can you put it all together: Evaluating conversational agents’ ability to blend skills
Eric Michael Smith, Mary Williamson, Kurt Shuster, Jason Weston, and Y-Lan Boureau. 2020 · 2030
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