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Computer Science > Computation and Language

arXiv:2405.14231 (cs)
[Submitted on 23 May 2024]

Title:From Role-Play to Drama-Interaction: An LLM Solution

Authors:Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Jiale Hong, Hai Zhao, Min Zhang
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Abstract:Drama is a form of storytelling inspired by human creativity, proceeding with a predefined storyline, carrying emotions and thoughts. This paper introduces \emph{LLM-based interactive drama}, which endows traditional drama with an unprecedented immersion, where a person is allowed to walk into it and interact with the characters and scenes. We define this new artistic genre by 6 essential elements-plot, character, thought, diction, spectacle and interaction-and study the entire pipeline to forge a backbone \emph{drama LLM} to drive the playing process, which is challenged by limited drama resources, uncontrollable narrative development, and complicated instruction following. We propose \emph{Narrative Chain} to offer finer control over the narrative progression during interaction with players; \emph{Auto-Drama} to synthesize drama scripts given arbitrary stories; \emph{Sparse Instruction Tuning} to allow the model to follow sophisticated instructions. We manually craft 3 scripts, \emph{Detective Conan}, \emph{Harry Potter}, \emph{Romeo and Juliet}, and design a 5-dimension principle to evaluate the drama LLM comprehensively.
Comments: Accepted by ACL 2024 Findings
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2405.14231 [cs.CL]
  (or arXiv:2405.14231v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2405.14231

Submission history

From: Weiqi Wu [view email]
[v1] Thu, 23 May 2024 07:03:56 UTC (24,040 KB)
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