Work

WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models

Year: 2024
Type: preprint
Abstract: WHAT-IF -- Writing a Hero's Alternate Timeline through Interactive Fiction -- is a system that uses zero-shot meta-prompting to create branching narratives from a prewritten story. Played as an interactive fiction (IF) game, WHAT-IF lets the player choose between decisions that the large language model (LLM) GPT-4 generates as possible branches in the story. Starting with an existing linear plot as input, a branch is created at each key decision taken by the main character. By meta-prompting the LLM to consider the major plot points from the story, the system produces coherent and well-structured alternate storylines. WHAT-IF stores the branching plot tree in a graph which helps it to both keep track of the story for prompting and maintain the structure for the final IF system. A demo of WHAT-IF can be found at https://what-if-game.github.io/.
Authors: Huang, Runsheng "Anson", Martin, Lara J., Callison-Burch, Chris
Language: English
Open Access status: green
OpenAlex ID: W6922338340
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