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20242026
most citedCharacter is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?

1 citations · 2 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation

Rui Li, Heming Xia, Xinfeng Yuan +4

Recently, LLMs have garnered increasing attention across academic disciplines for their potential as human digital twins, virtual proxies designed to replicate individuals and auto…

cs.CL2025

CoSER: A Comprehensive Literary Dataset and Framework for Training and Evaluating LLM Role-Playing and Persona Simulation

Xintao Wang, Heng Wang, Yifei Zhang +9

Role-playing language agents (RPLAs) have emerged as promising applications of large language models (LLMs). However, simulating established characters presents a challenging task…

cs.CL2024

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data

Yiting Ran, Xintao Wang, Rui Xu +4

Role-playing agents (RPA) have been a popular application area for large language models (LLMs), attracting significant interest from both industry and academia.While existing RPAs…

cs.CL2024

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

Xintao Wang, Jiangjie Chen, Nianqi Li +6

In the rapidly advancing research fields such as AI, managing and staying abreast of the latest scientific literature has become a significant challenge for researchers. Although p…

cs.CL2024★ 1 cited

Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works

Xinfeng Yuan, Siyu Yuan, Yuhan Cui +5

Large language models (LLMs) have demonstrated impressive performance and spurred numerous AI applications, in which role-playing agents (RPAs) are particularly popular, especially…