@inproceedings{tseng-etal-2024-two,
title = "Two Tales of Persona in {LLM}s: A Survey of Role-Playing and Personalization",
author = "Tseng, Yu-Min and
Huang, Yu-Chao and
Hsiao, Teng-Yun and
Chen, Wei-Lin and
Huang, Chao-Wei and
Meng, Yu and
Chen, Yun-Nung",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.969/",
doi = "10.18653/v1/2024.findings-emnlp.969",
pages = "16612--16631",
abstract = "The concept of \textit{persona}, originally adopted in dialogue literature, has re-surged as a promising framework for tailoring large language models (LLMs) to specific context (\textit{e.g.}, personalized search, LLM-as-a-judge). However, the growing research on leveraging persona in LLMs is relatively disorganized and lacks a systematic taxonomy. To close the gap, we present a comprehensive survey to categorize the current state of the field. We identify two lines of research, namely (1) \textit{LLM Role-Playing}, where personas are assigned to LLMs, and (2) \textit{LLM Personalization}, where LLMs take care of user personas. Additionally, we introduce existing methods for LLM personality evaluation. To the best of our knowledge, we present the first survey for role-playing and personalization in LLMs under the unified view of persona. We continuously maintain a paper collection to foster future endeavors."
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<abstract>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). However, the growing research on leveraging persona in LLMs is relatively disorganized and lacks a systematic taxonomy. To close the gap, we present a comprehensive survey to categorize the current state of the field. We identify two lines of research, namely (1) LLM Role-Playing, where personas are assigned to LLMs, and (2) LLM Personalization, where LLMs take care of user personas. Additionally, we introduce existing methods for LLM personality evaluation. To the best of our knowledge, we present the first survey for role-playing and personalization in LLMs under the unified view of persona. We continuously maintain a paper collection to foster future endeavors.</abstract>
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%0 Conference Proceedings
%T Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
%A Tseng, Yu-Min
%A Huang, Yu-Chao
%A Hsiao, Teng-Yun
%A Chen, Wei-Lin
%A Huang, Chao-Wei
%A Meng, Yu
%A Chen, Yun-Nung
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F tseng-etal-2024-two
%X 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). However, the growing research on leveraging persona in LLMs is relatively disorganized and lacks a systematic taxonomy. To close the gap, we present a comprehensive survey to categorize the current state of the field. We identify two lines of research, namely (1) LLM Role-Playing, where personas are assigned to LLMs, and (2) LLM Personalization, where LLMs take care of user personas. Additionally, we introduce existing methods for LLM personality evaluation. To the best of our knowledge, we present the first survey for role-playing and personalization in LLMs under the unified view of persona. We continuously maintain a paper collection to foster future endeavors.
%R 10.18653/v1/2024.findings-emnlp.969
%U https://aclanthology.org/2024.findings-emnlp.969/
%U https://doi.org/10.18653/v1/2024.findings-emnlp.969
%P 16612-16631
Markdown (Informal)
[Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization](https://aclanthology.org/2024.findings-emnlp.969/) (Tseng et al., Findings 2024)
ACL
- Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, and Yun-Nung Chen. 2024. Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 16612–16631, Miami, Florida, USA. Association for Computational Linguistics.