Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Fuente: arXiv
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Autori principali: Tseng, Yu-Min, Huang, Yu-Chao, Hsiao, Teng-Yun, Chen, Wei-Lin, Huang, Chao-Wei, Meng, Yu, Chen, Yun-Nung
Natura: Preprint
Pubblicazione: 2024
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author Tseng, Yu-Min
Huang, Yu-Chao
Hsiao, Teng-Yun
Chen, Wei-Lin
Huang, Chao-Wei
Meng, Yu
Chen, Yun-Nung
author_facet Tseng, Yu-Min
Huang, Yu-Chao
Hsiao, Teng-Yun
Chen, Wei-Lin
Huang, Chao-Wei
Meng, Yu
Chen, Yun-Nung
contents 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: https://github.com/MiuLab/PersonaLLM-Survey
format Preprint
id arxiv_https___arxiv_org_abs_2406_01171
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
Tseng, Yu-Min
Huang, Yu-Chao
Hsiao, Teng-Yun
Chen, Wei-Lin
Huang, Chao-Wei
Meng, Yu
Chen, Yun-Nung
Computation and Language
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: https://github.com/MiuLab/PersonaLLM-Survey
title Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
topic Computation and Language
url https://arxiv.org/abs/2406.01171