arXiv (All)
open access
From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
Although large language models (LLMs) have demonstrated impressive creative fiction generation, they struggle to maintain narrative consistency and coherent plot lines in long-form stories. In this work, we introduce MAGNET, a multi-agent goal-driven narrative engine for storytelling, which generate
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives#329138
- Do Large Language Models Always Tell The Same Stories?#924098
- Do Large Language Models Always Tell The Same Stories?#919869
- Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems#1131578
- Agent-Editing World Model: Rethinking World Modeling for LLM Agents#1065019
Record · ID 1198960
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive