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RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Wang, Zekun Moore, Peng, Zhongyuan, Que, Haoran, Liu, Jiaheng, Zhou, Wangchunshu, Wu, Yuhan, Guo, Hongcheng, Gan, Ruitong, Ni, Zehao, Yang, Jian, Zhang, Man, Zhang, Zhaoxiang, Ouyang, Wanli, Xu, Ke, Huang, Stephen W., Fu, Jie, Peng, Junran
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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