How can specialized agents collaborate to write better stories?
AGENTS' ROOM: NARRATIVE GENERATION THROUGH MULTI-STEP COLLABORATION
October 4, 2024
https://arxiv.org/pdf/2410.02603This paper proposes a multi-agent framework called AGENTS' ROOM for generating long-form fictional narratives. Inspired by narrative theory, the framework employs specialized AI agents to collaboratively plan and write different story elements like plot, character, setting, and narrative sections.
Key points:
- Specialized agents: Individual agents are either fine-tuned or zero-shot prompted LLMs focused on specific subtasks, avoiding complex instructions for a single LLM.
- Collaboration: Agents communicate through a shared scratchpad, fostering efficient knowledge sharing and avoiding redundant information.
- Orchestration: A central orchestrator (rule-based in this case) determines the order and necessity of agent calls, highlighting potential for future learning-based orchestration.
- Synthetic data: Scarcity of long-form writing datasets is addressed by generating synthetic data for agent training via distilled backtranslation.
- Evaluation: Human and LLM-based evaluators are used to assess different story quality dimensions, demonstrating preference for multi-agent generated stories over single LLM baselines.