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STORM is a writing system for the Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking.
It is designed to assist in writing grounded and organised long-form articles from scratch, with comparable breadth and depth to Wikipedia pages.
A new study addresses the challenges in the pre-writing stage, such as researching the topic and preparing an outline, by using STORM to model the pre-writing stage. STORM discovers diverse perspectives, simulates conversations, and curates collected information to create an outline.
The study evaluates STORM using FreshWiki, a dataset of recent high-quality Wikipedia articles, and outline assessments.
Compared to an outline-driven retrieval-augmented baseline, STORM’s articles were deemed more organised (by 25%) and broader in coverage (by 10%).
The study also identifies new challenges for generating grounded long articles, such as source bias transfer and over-association of unrelated facts, based on feedback from experienced Wikipedia editors.