CharacterGPT: A Persona Reconstruction Framework for Role-Playing Agents (2025.naacl-industry)
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| Challenge: | Maintaining consistent character personas remains a significant challenge due to variability in information extraction. |
| Approach: | They propose a framework to dynamically reconstruct character personas through Character Persona Training. |
| Outcome: | The proposed framework is evaluated through Big Five personality evaluations and creative tasks, in which characters generate original narratives. |
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| Challenge: | Large language models (LLMs) can be used to simulate human behaviors . a recent study suggests that LLMs can be more effective at generating human behavior . |
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| Challenge: | Large Language Models are increasingly utilized as role-playing agents to simulate personas in interactive settings. |
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Yirui QI, Xiaoming Zhang, Ruilin Zeng, Mengyao Liu, Ziyi Zhou, Dezhuang Miao, Bingyu Yan, Zhenyu Guan
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Aili Chen, Chengyu Du, Jiangjie Chen, Jinghan Xu, Yikai Zhang, Siyu Yuan, Zulong Chen, Liangyue Li, Yanghua Xiao
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PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits (2024.findings-naacl)
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| Challenge: | Recent studies have shown that LLMs can generate content that aligns with their assigned personality traits, but there is limited research on whether they consistently reflect specific personality traits. |
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