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LLM pipeline generates coherent RPG worlds using dependency-driven prompts

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel multi-stage prompt pipeline designed to enhance the coherence and structural consistency of role-playing game (RPG) content generated by large language models (LLMs). This dependency-driven approach breaks down content creation into sequential stages, such as world-building and quest planning, with each stage conditioning on structured JSON outputs from the previous one. By enforcing schemas and explicit data flow, the pipeline aims to reduce narrative drift and hallucinations, enabling the scalable creation of interconnected narrative elements. AI

IMPACT Introduces a structured pipeline for LLM-based procedural content generation, potentially improving narrative coherence in complex applications.

RANK_REASON Academic paper detailing a new method for LLM-based content generation.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLM pipeline generates coherent RPG worlds using dependency-driven prompts

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Academic paper detailing a new method for LLM-based content generation.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Dominik Borawski, Marta Szulc, Robert Chudy, Ma{\l}gorzata Giedrowicz, Piotr Mironowicz ·

    From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation

    arXiv:2604.25482v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong potential for narrative generation, but their use in complex, multi-layered role-playing game (RPG) worlds is still limited by issues of coherence, controllability, and structural consi…

  2. arXiv cs.CL TIER_1 English(EN) · Piotr Mironowicz ·

    From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation

    Large Language Models (LLMs) have shown strong potential for narrative generation, but their use in complex, multi-layered role-playing game (RPG) worlds is still limited by issues of coherence, controllability, and structural consistency. This paper explores a dependency-aware, …

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