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Author:

Li, Jiameng (Li, Jiameng.) | Chen, Zhen (Chen, Zhen.) | Lin, Weiran (Lin, Weiran.) | Zou, Liangjun (Zou, Liangjun.) | Xie, Xin (Xie, Xin.) | Hu, Yaodong (Hu, Yaodong.) | Li, Dianmo (Li, Dianmo.)

Indexed by:

CPCI-S EI Scopus

Abstract:

In this paper, we present a method based on large language models for murder mystery game scriptwriting, which not only helps ordinary user's one-click generation of ideas into a complete work, but also helps professional scriptwriters to improve the efficiency of creation. The main idea of this paper is to develop prompt engineering to communicate with the large language model, so that the model can accurately generate the required content according to the user's thread, and improve the quality of the output scripts. Through the effective combination of AI and human thinkings, the paper explores the potential application prospects of AI in murder mystery game script generation and expression with a new perspective and means. © 2024 IEEE.

Keyword:

Computational linguistics Crime Big data

Author Community:

  • [ 1 ] [Li, Jiameng]Tsinghua University, Tanwei College, Beijing, China
  • [ 2 ] [Chen, Zhen]Tsinghua University, Fitc, Beijing, China
  • [ 3 ] [Lin, Weiran]Tsinghua University, Fitc, Beijing, China
  • [ 4 ] [Zou, Liangjun]Beijing University of Technology, Sofware Engineering, Beijing, China
  • [ 5 ] [Xie, Xin]Tsinghua University, Materials Science & Engineering, Beijing, China
  • [ 6 ] [Hu, Yaodong]Tsinghua University, ICenter, Beijing, China
  • [ 7 ] [Li, Dianmo]Tsinghua University, School of Life Sciences, Beijing, China

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Source :

Year: 2024

Page: 451-455

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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