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Personalized large language models (LLMs) have attracted great attention in many applications, such as emotional support and role-playing.
Loramoe: Alleviating world knowledge forgetting in large language models via moe-style plugin
Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, et al. 2024 · 1945
Earlier work this paper cites.
The big five personality dimensions and job performance: a meta-analysis
Murray R Barrick and Michael K Mount. 1991 · 1991
Earlier work this paper cites.
Adaptive mixtures of local experts
Robert A Jacobs, Michael I Jordan, Steven J Nowlan, and Geoffrey E Hinton. 1991 · 1991
Earlier work this paper cites.
An introduction to the five-factor model and its applications
Robert R McCrae and Oliver P John. 1992 · 1992
Earlier work this paper cites.
Linguistic styles: language use as an individual difference
James W Pennebaker and Laura A King. 1999 · 1999
Earlier work this paper cites.
The five-factor personality inventory: cross-cultural generalizability across 13 countries
AA Jolijn Hendriks, Marco Perugini, Alois Angleitner, Fritz Ostendorf, John A Johnson, Filip De Fruyt, Martina Hřebíčková, Shulamith Kreitler, Takashi Murakami, Denis Bratko, et al. 2003 · 2003
Earlier work this paper cites.
Personality and the prediction of consequential outcomes
Daniel J Ozer and Veronica Benet-Martinez. 2006 · 2006
Earlier work this paper cites.
The power of personality: The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes
Brent W Roberts, Nathan R Kuncel, Rebecca Shiner, Avshalom Caspi, and Lewis R Goldberg. 2007 · 2007
Earlier work this paper cites.
Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean. 2017 · 2017
Earlier work this paper cites.
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.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Cited alongside, same era.
Cped: A large-scale chinese personalized and emotional dialogue dataset for conversational ai
Yirong Chen, Weiquan Fan, Xiaofen Xing, Jianxin Pang, Minlie Huang, Wenjing Han, Qianfeng Tie, and Xiangmin Xu. 2022 · 2022
Cited alongside, same era.
Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
William Fedus, Barret Zoph, and Noam Shazeer. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Role play with large language models
Murray Shanahan, Kyle McDonell, and Laria Reynolds. 2023 · 2023
Later among the works it cites.
Character-llm: A trainable agent for role-playing
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023 · 2023
Later among the works it cites.
Pushing mixture of experts to the limit: Extremely parameter efficient moe for instruction tuning
Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermiş, Acyr Locatelli, and Sara Hooker. 2023 · 2023
Later among the works it cites.
Characterglm: Customizing chinese conversational ai characters with large language models
Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Libiao Peng, Jiaming Yang, Xiyao Xiao, et al. 2023 · 2023
Later among the works it cites.
How well can llms echo us? evaluating ai chatbots’ role-play ability with echo
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Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Machine mindset: An mbti exploration of large language models
Jiaxi Cui, Liuzhenghao Lv, Jing Wen, Jing Tang, YongHong Tian, and Li Yuan. 2023 · 2023
Cited alongside, same era.
Moelora: An moe-based parameter efficient fine-tuning method for multi-task medical applications
Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, and Yefeng Zheng. 2023 · 2023
Cited alongside, same era.
Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, and Huajun Chen. 2023 · 2023
Cited alongside, same era.
Can chatgpt assess human personalities? a general evaluation framework
Haocong Rao, Cyril Leung, and Chunyan Miao. 2023 · 2023
Cited alongside, same era.
Evaluating the llm agents for simulating humanoid behavior
Chaoran Chen, Bingsheng Yao, Yanfang Ye, Dakuo Wang, and Toby Jia-Jun Li
Cited in the paper.
Chatharuhi: Reviving anime character in reality via large language model
Cheng Li, Ziang Leng, Chenxi Yan, Junyi Shen, Hao Wang, Weishi Mi, Yaying Fei, Xiaoyang Feng, Song Yan, HaoSheng Wang, et al. 2023a
Cited in the paper.
Tailoring personality traits in large language models via unsupervisedly-built personalized lexicons
Tianlong Li, Xiaoqing Zheng, and Xuanjing Huang. 2023b
Cited in the paper.
Man Tik Ng, Hui Tung Tse, Jen-tse Huang, Jingjing Li, Wenxuan Wang, and Michael R Lyu. 2024 · 2024
Closest in time.
Incharacter: Evaluating personality fidelity in role-playing agents through psychological interviews
Xintao Wang, Yunze Xiao, Jen-tse Huang, Siyu Yuan, Rui Xu, Haoran Guo, Quan Tu, Yaying Fei, Ziang Leng, Wei Wang, et al. 2024 · 2024
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Controllm: Crafting diverse personalities for language models
Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, and Jun Zhao. 2024 · 2024
Closest in time.
Mindecho: Role-playing language agents for key opinion leaders
Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, and Yinghui Xu. 2024 · 2024
Closest in time.
Kedi Chen, Zhikai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, and Wei Zhang. 2025 · 2025
Closest in time.