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

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arxiv 2405.14231 v1 pith:BPBVWJSB submitted 2024-05-23 cs.CL

classification cs.CL
keywords emphdramanarrativeinstructionscriptsallowallowedarbitrary
verification ladder T0 review T1 audit T2 compute T3 formal

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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.

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Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Multi-Actor Generative Artificial Intelligence as a Game Engine

    cs.AI 2025-07 conditional novelty 5.0 of 10

    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.

  2. Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play

    cs.AI 2025-05 reject novelty 5.0 of 10

    Voila presents a unified voice-language model family with a hierarchical multi-scale Transformer, claiming 195 ms latency and a million customizable voices, with new benchmark and ASR/TTS evaluations.

  3. BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation

    cs.CL 2025-04 conditional novelty 5.0 of 10

    BookWorld builds multi-agent societies from novels and uses them to generate stories that an LLM judge prefers over direct generation and a prior screenwriting agent in most comparisons.

  4. AI Agent Behavioral Science

    q-bio.NC 2025-06 conditional novelty 4.0 of 10

    AI agents should be studied as behavioral entities shaped by context and interaction, not only as trained models.

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