STORM is a research project developed by Stanford University that aims to assist in the creation of Wikipedia-like articles using Large Language Models (LLMs).
The project's main goal is to automate the process of researching topics and generating full-length reports with citations.
Automated research: The system leverages internet-based research for data gathering.
Content generation: STORM uses LLMs to create article outlines and subsequently produce detailed articles with citations.
Assistance for editors: While not yet producing publication-ready outputs, STORM has shown utility in assisting experienced Wikipedia editors during the initial stages of article drafting.
The project is currently in active development, with ongoing efforts to enhance its functionality and user experience. Recent updates and activities include:
Release of STORM research preview v2.0 with improved UI and stability in July 2024.
Presentation of a paper titled "Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models" at NAACL 2024 in June 2024.
Continuous improvements to documentation, addressing API-related issues, and expanding feature sets.
The STORM Project represents a significant step in the field of automated content generation, potentially serving educational platforms, content creators, and academic researchers. As development progresses, the team aims to refine the system's capabilities and make it more accessible to users interested in knowledge curation and dissemination.