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

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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.

fields

cs.AI 1

years

2025 1

verdicts

CONDITIONAL 1

representative citing papers

Multi-Actor Generative Artificial Intelligence as a Game Engine

cs.AI · 2025-07-10 · conditional · novelty 5.0

Generative multi-actor AI platforms can be built on the Entity-Component pattern, treating the environment (Game Master) as a composable entity, so that one library serves simulation, storytelling, and evaluation goals.

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  • Multi-Actor Generative Artificial Intelligence as a Game Engine cs.AI · 2025-07-10 · conditional · none · ref 19 · internal anchor

    Generative multi-actor AI platforms can be built on the Entity-Component pattern, treating the environment (Game Master) as a composable entity, so that one library serves simulation, storytelling, and evaluation goals.