ChatHaruhi: Reviving Anime Character in Reality via Large Language Model

Autor:	Li, Cheng, Leng, Ziang, Yan, Chenxi, Shen, Junyi, Wang, Hao, MI, Weishi, Fei, Yaying, Feng, Xiaoyang, Yan, Song, Wang, HaoSheng, Zhan, Linkang, Jia, Yaokai, Wu, Pingyu, Sun, Haozhen
Rok vydání:	2023
Předmět:	Computer Science - Computation and Language Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	Role-playing chatbots built on large language models have drawn interest, but better techniques are needed to enable mimicking specific fictional characters. We propose an algorithm that controls language models via an improved prompt and memories of the character extracted from scripts. We construct ChatHaruhi, a dataset covering 32 Chinese / English TV / anime characters with over 54k simulated dialogues. Both automatic and human evaluations show our approach improves role-playing ability over baselines. Code and data are available at https://github.com/LC1332/Chat-Haruhi-Suzumiya . Comment: v1 - First version of techique report
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2308.09597 Zobrazit plný text záznamu View this record from Arxiv