Summary of Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models, by Yijia Shao et al.
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
by Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, Monica S. Lam
First submitted to arxiv on: 22 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary As machine learning educators often require technical audiences to grasp novel concepts and methods from diverse subfields. This paper proposes STORM, a writing system for synthesizing topic outlines through retrieval and multi-perspective question asking. By simulating conversations between writers with different perspectives and posing questions to trusted Internet sources, STORM models the pre-writing stage in generating grounded and organized long-form articles comparable to Wikipedia pages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps us write better articles by giving us new ideas and organizing our thoughts. A team of scientists created a system called STORM that can help writers create outlines for long articles by finding different perspectives on a topic and asking questions about it. They did this by pretending to have conversations between people with different views, using reliable online sources as experts. |
Keywords
» Artificial intelligence » Machine learning
