@inproceedings{shao2024assisting,
 abstract = {We study how to apply large language models to write grounded and organized long-form articles from scratch, with comparable breadth and depth to Wikipedia pages. This underexplored problem poses new challenges at the pre-writing stage, including how to research the topic and prepare an outline prior to writing. We propose STORM, a writing system for the Synthesis of Topic Outlines throughRetrieval and Multi-perspective Question Asking. STORM models the pre-writing stage by (1) discovering diverse perspectives in researching the given topic, (2) simulating conversations where writers carrying different perspectives pose questions to a topic expert grounded on trusted Internet sources, (3) curating the collected information to create an outline.For evaluation, we curate FreshWiki, a dataset of recent high-quality Wikipedia articles, and formulate outline assessments to evaluate the pre-writing stage. We further gather feedback from experienced Wikipedia editors. Compared to articles generated by an outline-driven retrieval-augmented baseline, more of STORM{'}s articles are deemed to be organized (by a 25{\%} absolute increase) and broad in coverage (by 10{\%}). The expert feedback also helps identify new challenges for generating grounded long articles, such as source bias transfer and over-association of unrelated facts.},
 address = {Mexico City, Mexico},
 author = {Shao, Yijia  and
Jiang, Yucheng  and
Kanell, Theodore  and
Xu, Peter  and
Khattab, Omar  and
Lam, Monica},
 booktitle = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
 doi = {10.18653/v1/2024.naacl-long.347},
 editor = {Duh, Kevin  and
Gomez, Helena  and
Bethard, Steven},
 external = {true},
 link = {https://aclanthology.org/2024.naacl-long.347},
 month = {jun},
 pages = {6252--6278},
 publisher = {Association for Computational Linguistics},
 title = {Assisting in Writing {W}ikipedia-like Articles From Scratch with Large Language Models},
 url = {https://arxiv.org/abs/2402.14207},
 year = {2024}
}