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Being towards death

Heed not to the tree-rustling and leaf-lashing rain, Why not stroll along, whistle and sing under its rein. Lighter and better suited than horses are straw sandals and a bamboo staff, Who's afraid? A palm-leaf plaited cape provides enough to misty weather in life sustain. A thorny spring breeze sobers up the spirit, I feel a slight chill, The setting sun over the mountain offers greetings still. Looking back over the bleak passage survived, The return in time Shall not be affected by windswept rain or shine.
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STORM: Automatically generate in-depth long-form content like Wikipedia

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AI-generated summary
STORM is an automated tool developed by Stanford University for writing comprehensive and structured articles similar to Wikipedia. It gathers information from the internet, simulates expert conversations, creates outlines, and improves the writing process. It streamlines research, integrates multiple perspectives, simulates dialogue, generates outlines, and refines articles for quality. More information can be found in the paper and on GitHub.

This is an automated system developed by Stanford University that can automatically generate comprehensive and structured long articles like Wikipedia articles from scratch.

It can search the internet, gather information automatically, and simulate conversations between experts and authors to generate structured article outlines, and finally produce complete articles.

In addition, it also polishes articles, improves sentences, structure, and ensures the fluency and accuracy of the content.

Workflow:

  1. Automation of pre-writing research: In the traditional process of writing long articles, pre-writing research (including topic research, information gathering, and outlining) is a time-consuming and complex task. STORM automates this process by searching the internet, automatically collecting detailed information on specific topics. It helps authors efficiently gather and organize the necessary information, thereby improving writing efficiency.

  2. Integration of multiple perspectives: For any given topic, to delve deeper into the subject, STORM asks questions from multiple perspectives. Exploring and understanding information from different perspectives is key to producing comprehensive and in-depth articles.

  3. Simulating conversations: The system simulates dialogue scenarios, like an interaction between an expert and a writer, to better understand information and generate more precise follow-up questions.

  4. Generating structured article outlines: A clear, logical article outline is the foundation of high-quality writing. After collecting enough information, STORM organizes this information into a structured content outline to provide a framework for writing articles.

  5. Article generation and polishing: Based on the outline and collected materials, the system can generate complete articles and optimize the content through subsequent polishing processes, such as removing redundant information, adding summary sections, etc.

Paper: https://arxiv.org/abs/2402.14207
GitHub: https://github.com/stanford-oval/storm
Online experience: https://storm.genie.stanford.edu

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