From Role-Play to Drama-Interaction: An LLM Solution
Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Jiale Hong, Hai Zhao,, Min Zhang

TL;DR
This paper presents a novel LLM-based interactive drama framework that enhances storytelling immersion by enabling real-time interaction, controlled narrative progression, and script synthesis, addressing resource limitations and instruction complexity.
Contribution
It introduces a new artistic genre with six core elements, proposes methods for narrative control and script generation, and develops a comprehensive evaluation principle for drama LLMs.
Findings
Developed Narrative Chain for narrative control
Created Auto-Drama for script synthesis
Designed a 5-dimension evaluation principle
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…
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Taxonomy
TopicsArtificial Intelligence in Law
