STORM: Stanford's AI Research Paper Writing Engine

Fri, 01 May 2026 00:00:00 +0000

Most AI writing tools generate articles based on whatever knowledge they learned during training. STORM, developed by Stanford’s OVAL lab, takes a more rigorous approach: it researches topics from scratch by asking multi-perspective questions, searching the web, and synthesizing information into well-structured articles.

Inspired by the writing process that produces high-quality Wikipedia articles, STORM simulates the research and writing workflow. It identifies different perspectives on a topic, asks targeted questions from each angle, collects and evaluates sources, and produces a comprehensive article with proper citations. The result is content that is grounded in real sources rather than model parameters.

System Components

Component	Function
Perspective selector	Identifies diverse viewpoints on the topic
Question generator	Creates targeted questions for web search
Web searcher	Executes searches and retrieves relevant sources
Outline builder	Structures the article with a logical flow
Section writer	Drafts each section with inline citations
Article assembler	Merges sections and formats the output

Research and Writing Pipeline

flowchart LR
 A[Topic] --> B[Perspective Discovery]
 B --> C[Multi-Perspective Q&A]
 C --> D[Web Search & Source Collection]
 D --> E[Source Evaluation]
 E --> F[Outline Generation]
 F --> G[Section-by-Section Writing]
 G --> H[Citation Integration]
 H --> I[Article Assembly]
 I --> J[Final Article]
 C -.->|Iterative| C
 D -.->|Iterative| C

The pipeline is iterative. After perspective discovery, the system asks questions and searches for answers, using new information to generate more targeted questions. This recursive deepening ensures comprehensive coverage of the topic.

STORM on SoloSoft

STORM: Stanford's AI Research Paper Writing Engine

System Components

Research and Writing Pipeline