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The concept of persona, originally adopted in dialogue literature, has re-surged as a promising framework for tailoring large language models (LLMs) to specific context (e.g., personalized search, LLM-as-a-judge).
The waterfall model in large-scale development
Kai Petersen, Claes Wohlin, and Dejan Baca. 2009 · 2009
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Towards a personal health management assistant
M Swift and J Allen. 2010 · 2010
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A simulation model for the waterfall software development life cycle
Youssef Bassil. 2012 · 2012
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Peopleware: productive projects and teams
Tom DeMarco and Tim Lister. 2013 · 2013
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Yelp dataset
Yelp. 2013 · 2013
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The movielens datasets: History and context
F Maxwell Harper and Joseph A Konstan. 2015 · 2015
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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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Hierarchical question-image co-attention for visual question answering
Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh. 2017 · 2017
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MultiWOZ - a large-scale multi-domain Wizard-of-Oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
Earlier work this paper cites.
Large-scale multi-domain belief tracking with knowledge sharing
Osman Ramadan, Paweł Budzianowski, and Milica Gašić. 2018 · 2018
Earlier work this paper cites.
AirDialogue: An environment for goal-oriented dialogue research
Wei Wei, Quoc Le, Andrew Dai, and Jia Li. 2018 · 2018
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The second conversational intelligence challenge (convai2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W Black, Alexander Rudnicky, Jason Williams, Joelle Pineau, Mikhail Burtsev, and Jason Weston. 2019 · 2019
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Maximizing stylistic control and semantic accuracy in NLG: Personality variation and discourse contrast
Vrindavan Harrison, Lena Reed, Shereen Oraby, and Marilyn Walker. 2019 · 2019
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019
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SPECTER: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel Weld. 2020 · 2020
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MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Adarsh Kumar, Anuj Goyal, Peter Ku, and Dilek Hakkani-Tur. 2020 · 2020
Earlier work this paper cites.
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
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The effectiveness of artificial intelligence conversational agents in health care: systematic review
Madison Milne-Ives, Caroline de Cock, Ernest Lim, Melissa Harper Shehadeh, Nick de Pennington, Guy Mole, Eduardo Normando, and Edward Meinert. 2020 · 2020
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Star: A schema-guided dialog dataset for transfer learning
Johannes E. M. Mosig, Shikib Mehri, and Thomas Kober. 2020 · 2020
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Baidu personachat dataset
PapersWithCode. 2020 · 2020
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Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan. 2020 · 2020
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Generating persona consistent dialogues by exploiting natural language inference
Haoyu Song, Wei-Nan Zhang, Jingwen Hu, and Ting Liu. 2020 · 2020
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MIND: A large-scale dataset for news recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, and Ming Zhou. 2020 · 2020
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MultiWOZ 2.2 : A dialogue dataset with additional annotation corrections and state tracking baselines
Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, Raghav Gupta, Jianguo Zhang, and Jindong Chen. 2020 · 2020
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MedDialog: Large-scale medical dialogue datasets
Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, and Pengtao Xie. 2020 · 2020
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Towards persona-based empathetic conversational models
Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, and Chunyan Miao. 2020 · 2020
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Personalized transformer for explainable recommendation
Lei Li, Yongfeng Zhang, and Li Chen. 2021 · 2021
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Empirical analysis of training strategies of transformer-based japanese chit-chat systems
Hiroaki Sugiyama, Masahiro Mizukami, Tsunehiro Arimoto, Hiromi Narimatsu, Yuya Chiba, Hideharu Nakajima, and Toyomi Meguro. 2021 · 2021
Earlier work this paper cites.
Group based personalized search by integrating search behaviour and friend network
Yujia Zhou, Zhicheng Dou, Bingzheng Wei, and Ruobing Xievand Ji-Rong Wen. 2021 · 2021
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Team roles at work
R Meredith Belbin and Victoria Brown. 2022 · 2022
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Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
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Understanding html with large language models
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, and Aleksandra Faust. 2022 · 2022
Earlier work this paper cites.
Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, and Yongbin Li. 2022 · 2022
Earlier work this paper cites.
Automatic generation of large-scale multi-turn dialogues from Reddit
Daniil Huryn, William M. Hutsell, and Jinho D. Choi. 2022 · 2022
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LlamaIndex
Jerry Liu. 2022 · 2022
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Introducing chatgpt
OpenAI. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Earlier work this paper cites.
Mpchat: Towards multimodal persona-grounded conversation
Jaewoo Ahn, Yeda Song, Sangdoo Yun, and Gunhee Kim. 2023 · 2023
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Leancontext: Cost-efficient domain-specific question answering using llms
Md Adnan Arefeen, Biplob Debnath, and Srimat Chakradhar. 2023 · 2023
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Personalized quest and dialogue generation in role-playing games: A knowledge graph-and language model-based approach
Trevor Ashby, Braden K Webb, Gregory Knapp, Jackson Searle, and Nancy Fulda. 2023 · 2023
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu. 2023 · 2023
Earlier work this paper cites.
A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, and Xing Xie. 2023 · 2023
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The first workshop on personalized generative ai@ cikm 2023: Personalization meets large language models
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian McAuley, Aram Galstyan, Xiaohua Hu, and Jie Yang. 2023e · 2023
Cited alongside, same era.
Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee. 2023 · 2023
Cited alongside, same era.
Large language models for user interest journeys
Konstantina Christakopoulou, Alberto Lalama, Cj Adams, Iris Qu, Yifat Amir, Samer Chucri, Pierce Vollucci, Fabio Soldo, Dina Bseiso, Sarah Scodel, Lucas Dixon, Ed H. Chi, and Minmin Chen. 2023 · 2023
Cited alongside, same era.
Leveraging large language models for pre-trained recommender systems
Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y Zhang, and Sheng Li. 2023 · 2023
Cited alongside, same era.
Webarena: A realistic web environment for building autonomous agents
Shuyan Zhou, Frank F Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, et al. 2023 · 2023
Later among the works it cites.
Large language models are built-in autoregressive search engines
Noah Ziems, Wenhao Yu, Zhihan Zhang, and Meng Jiang. 2023 · 2023
Later among the works it cites.
Timechara: Evaluating point-in-time character hallucination of role-playing large language models
Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, and Gunhee Kim. 2024 · 2024
Closest in time.
Knowledge-augmented large language models for personalized contextual query suggestion
Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Allen herring, and Sujay Kumar Jauhar. 2024 · 2024
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Uncovering chatgpt’s capabilities in recommender systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, and Jun Xu. 2023 · 2023
Cited alongside, same era.
Educhat: A large-scale language model-based chatbot system for intelligent education
Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, et al. 2023 · 2023
Cited alongside, same era.
Toxicity in chatgpt: Analyzing persona-assigned language models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan. 2023 · 2023
Cited alongside, same era.
Self-collaboration code generation via chatgpt
Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li. 2023 · 2023
Cited alongside, same era.
Do personality tests generalize to large language models?
Florian E Dorner, Tom Sühr, Samira Samadi, and Augustin Kelava. 2023 · 2023
Cited alongside, same era.
On text-based personality computing: Challenges and future directions
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, and Daniel Oberski. 2023 · 2023
Cited alongside, same era.
Improving language model negotiation with self-play and in-context learning from ai feedback
Yao Fu, Hao Peng, Tushar Khot, and Mirella Lapata. 2023 · 2023
Cited alongside, same era.
Is your model sensitive? spedac: A new resource for the automatic classification of sensitive personal data
Gaia Gambarelli, Aldo Gangemi, and Rocco Tripodi. 2023 · 2023
Cited alongside, same era.
Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, et al. 2024 · 2024
Closest in time.
Seeclick: Harnessing gui grounding for advanced visual gui agents
Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, and Zhiyong Wu. 2024 · 2024
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Mind2web: Towards a generalist agent for the web
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Sam Stevens, Boshi Wang, Huan Sun, and Yu Su. 2024 · 2024
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Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024) . Association for Computational Linguistics, St. Julians, Malta
Ameet Deshpande, EunJeong Hwang, Vishvak Murahari, Joon Sung Park, Diyi Yang, Ashish Sabharwal, Karthik Narasimhan, and Ashwin Kalyan, editors. 2024 · 2024
Closest in time.
LLM agents in interaction: Measuring personality consistency and linguistic alignment in interacting populations of large language models
Ivar Frisch and Mario Giulianelli. 2024 · 2024
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Large language model based multi-agents: A survey of progress and challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V Chawla, Olaf Wiest, and Xiangliang Zhang. 2024 · 2024
Closest in time.
Psydial: Personality-based synthetic dialogue generation using large language models
Ji-Eun Han, Jun-Seok Koh, Hyeon-Tae Seo, Du-Seong Chang, and Kyung-Ah Sohn. 2024 · 2024
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Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, and Zhiting Hu. 2024 · 2024
Closest in time.
Large language models are zero-shot rankers for recommender systems
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao. 2024 · 2024
Closest in time.
Enhancing sequential recommendation via llm-based semantic embedding learning
Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, and Jun Zhou. 2024 · 2024
Closest in time.
Leveraging the potential of large language models in education through playful and game-based learning
Stefan E Huber, Kristian Kiili, Steve Nebel, Richard M Ryan, Michael Sailer, and Manuel Ninaus. 2024 · 2024
Closest in time.
Evaluating and inducing personality in pre-trained language models
Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, and Yixin Zhu. 2024 · 2024
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Visualwebarena: Evaluating multimodal agents on realistic visual web tasks
Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, and Daniel Fried. 2024 · 2024
Closest in time.
Large language models are clinical reasoners: Reasoning-aware diagnosis framework with prompt-generated rationales
Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, and Jinyoung Yeo. 2024 · 2024
Closest in time.
Can large language models reason about medical questions?
Valentin Liévin, Christoffer Egeberg Hother, Andreas Geert Motzfeldt, and Ole Winther. 2024 · 2024
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Visualwebbench: How far have multimodal llms evolved in web page understanding and grounding?
Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, and Xiang Yue. 2024 · 2024
Closest in time.
Personalitychat: Conversation distillation for personalized dialog modeling with facts and traits
Ehsan Lotfi, Maxime De Bruyn, Jeska Buhmann, and Walter Daelemans. 2024 · 2024
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Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al. 2024 · 2024
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Empowering personalized learning through a conversation-based tutoring system with student modeling
Minju Park, Sojung Kim, Seunghyun Lee, Soonwoo Kwon, and Kyuseok Kim. 2024 · 2024
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Capabilities of gemini models in medicine
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, et al. 2024 · 2024
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Alireza Salemi and Hamed Zamani. 2024 · 2024
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Personagym: Evaluating persona agents and llms
Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, and Vishvak Murahari. 2024 · 2024
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Generative echo chamber? effects of llm-powered search systems on diverse information seeking
Nikhil Sharma, Q Vera Liao, and Ziang Xiao. 2024 · 2024
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. 2024 · 2024
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Identifying multiple personalities in large language models with external evaluation
Xiaoyang Song, Yuta Adachi, Jessie Feng, Mouwei Lin, Linhao Yu, Frank Li, Akshat Gupta, Gopala Anumanchipalli, and Simerjot Kaur. 2024 · 2024
Closest in time.
LLMs simulate big5 personality traits: Further evidence
Aleksandra Sorokovikova, Sharwin Rezagholi, Natalia Fedorova, and Ivan P. Yamshchikov. 2024 · 2024
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Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
Elizabeth C Stade, Shannon Wiltsey Stirman, Lyle H Ungar, Cody L Boland, H Andrew Schwartz, David B Yaden, João Sedoc, Robert J DeRubeis, Robb Willer, and Johannes C Eichstaedt. 2024 · 2024
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Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, and Heng Ji. 2024 · 2024
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Democratizing large language models via personalized parameter-efficient fine-tuning
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, and Meng Jiang. 2024 · 2024
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Exploring safety-utility trade-offs in personalized language models
Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, and Snigdha Chaturvedi. 2024 · 2024
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Mental-llm: Leveraging large language models for mental health prediction via online text data
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K Dey, and Dakuo Wang. 2024 · 2024
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2024 · 2024
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Bias and toxicity in role-play reasoning
Jinman Zhao, Zifan Qian, Linbo Cao, Yining Wang, and Yitian Ding. 2024 · 2024
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Gpt-4v (ision) is a generalist web agent, if grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, and Yu Su. 2024 · 2024
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang. 2024 · 2024
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Cognitive personalized search integrating large language models with an efficient memory mechanism
Yujia Zhou, Qiannan Zhu, Jiajie Jin, and Zhicheng Dou. 2024 · 2024
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Are large pre-trained language models leaking your personal information?
Jie Huang, Hanyin Shao, and Kevin Chen-Chuan Chang. 2022 · 2047
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