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Providing dialogue agents with a profile representation can improve their consistency and coherence, leading to better conversations.
Personalized dialogue generation with diversified traits
Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, and Xuan Zhu. 2019 · 1901
Earlier work this paper cites.
Exploiting persona information for diverse generation of conversational responses
Haoyu Song, Wei-Nan Zhang, Yiming Cui, Dong Wang, and Ting Liu. 2019 · 1905
Earlier work this paper cites.
Personality: A psychological interpretation
Gordon Willard Allport. 1937 · 1937
Earlier work this paper cites.
The myers-briggs type indicator: Manual (1962)
Isabel Briggs Myers. 1962 · 1962
Earlier work this paper cites.
Big five inventory
Oliver P John, Eileen M Donahue, and Robert L Kentle. 1991 · 1991
Earlier work this paper cites.
Psychological aspects of natural language use: Our words, our selves
James W Pennebaker, Matthias R Mehl, and Kate G Niederhoffer. 2003 · 2003
Earlier work this paper cites.
PERSONAGE: Personality generation for dialogue
François Mairesse and Marilyn Walker. 2007 · 2007
Earlier work this paper cites.
What is personalization? a conceptual framework
Jari Vesanen. 2007 · 2007
Earlier work this paper cites.
A personality-based framework for utterance generation in dialogue applications
François Mairesse and Marilyn A Walker. 2008 · 2008
Earlier work this paper cites.
Exploring content models for multi-document summarization
Aria Haghighi and Lucy Vanderwende. 2009 · 2009
Earlier work this paper cites.
Intelligent user profiling
Silvia Schiaffino and Analía Amandi. 2009 · 2009
Earlier work this paper cites.
Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs
Cristian Danescu-Niculescu-Mizil and Lillian Lee. 2011 · 2011
Earlier work this paper cites.
Perceptions of alignment and personality in generated dialogue
Alastair Gill, Carsten Brockmann, and Jon Oberlander. 2012 · 2012
Earlier work this paper cites.
Personality, gender, and age in the language of social media: The open-vocabulary approach
H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Lukasz Dziurzynski, Stephanie M Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin EP Seligman, et al. 2013 · 2013
Earlier work this paper cites.
How does target know so much about its customers? utilizing customer analytics to make marketing decisions
Hope B Corrigan, Georgiana Craciun, and Allison M Powell. 2014 · 2014
Earlier work this paper cites.
A survey of personality computing
Alessandro Vinciarelli and Gelareh Mohammadi. 2014 · 2014
Earlier work this paper cites.
Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016b · 2016
Cited alongside, same era.
Gender-distinguishing features in film dialogue
Alexandra Schofield and Leo Mehr. 2016 · 2016
Cited alongside, same era.
Examining a hate speech corpus for hate speech detection and popularity prediction
Filip Klubicka and Raquel Fernández. 2018 · 2018
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Training millions of personalized dialogue agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018 · 2018
Cited alongside, same era.
Aiming to know you better perhaps makes me a more engaging dialogue partner
Yury Zemlyanskiy and Fei Sha. 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
Towards persona-based empathetic conversational models
Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, and Chunyan Miao. 2020 · 2020
Later among the works it cites.
Refocusing on relevance: Personalization in NLG
Shiran Dudy, Steven Bedrick, and Bonnie Webber. 2021 · 2021
Later among the works it cites.
Unsupervised enrichment of persona-grounded dialog with background stories
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley, and Harsh Jhamtani. 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. 2021 · 2021
Later among the works it cites.
BoB: BERT over BERT for training persona-based dialogue models from limited personalized data
Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, and Ting Liu. 2021 · 2021
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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.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
Cited alongside, same era.
Automatic text-based personality recognition on monologues and multiparty dialogues using attentive networks and contextual embeddings (student abstract)
Hang Jiang, Xianzhe Zhang, and Jinho D Choi. 2020 · 2020
Cited alongside, same era.
Don’t say that! making inconsistent dialogue unlikely with unlikelihood training
Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, and Jason Weston. 2020 · 2020
Cited alongside, same era.
You impress me: Dialogue generation via mutual persona perception
Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, and Dongmei Zhang. 2020 · 2020
Cited alongside, same era.
Like hiking? you probably enjoy nature: Persona-grounded dialog with commonsense expansions
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, and Julian McAuley. 2020 · 2020
Cited alongside, same era.
Hsuan Su, Jiun-Hao Jhan, Fan-yun Sun, Saurav Sahay, and Hung-yi Lee. 2021 · 2021
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A model-agnostic data manipulation method for persona-based dialogue generation
Yu Cao, Wei Bi, Meng Fang, Shuming Shi, and Dacheng Tao. 2022 · 2022
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Open-domain dialogue generation: What we can do, cannot do, and should do next
Katharina Kann, Abteen Ebrahimi, Joewie Koh, Shiran Dudy, and Alessandro Roncone. 2022 · 2022
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Chatgpt: Optimizing language models for dialogue
OpenAI. 2022 · 2022
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Godel: Large-scale pre-training for goal-directed dialog
Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, and Jianfeng Gao. 2022 · 2022
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Bloom: A 176b-parameter open-access multilingual language model
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, et al. 2022 · 2022
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Leveraging similar users for personalized language modeling with limited data
Charles Welch, Chenxi Gu, Jonathan K. Kummerfeld, Veronica Perez-Rosas, and Rada Mihalcea. 2022 · 2022
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Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al. 2022 · 2022
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Towards a unified multi-dimensional evaluator for text generation
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, and Jiawei Han. 2022 · 2038
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