Submissions:2025/Automatic Wikipedia Updating with LLM Agents
This submission has been noted and is pending review for WikiConference North America 2025.
Title:
- Automatic Wikipedia Updating with LLM Agents
Type of session:
- Lecture (15-30 min)
Session theme(s):
- Future of Wikipedia
Abstract:
Wikipedia, a vast and continuously consulted knowledge base, faces significant challenges in maintaining up-to-date content due to its reliance on manual human editors. This talk introduces an agentic framework for continuously updating Wikipedia articles. Our approach employs a multi-agent framework to aggregate online information, select new and important knowledge for a target entity in Wikipedia, and then generate precise edit suggestions for human review. Our fine-grained editing models, trained on Wikipedia's extensive history of human edits, enable incorporating updates in a manner consistent with human editing behavior. Our editor models outperform both open-source instruction-following baselines and closed-source LLMs (e.g., GPT-4o) in key-information coverage and editing efficiency. End-to-end evaluation on high-activity Wikipedia pages demonstrates the system's ability to identify and suggest timely factual updates. This opens up a promising research direction in LLM agents for suggesting Wikipedia updates with human editors in the loop.
Author name(s):
Wikimedia username(s):
Affiliated organization(s):
- University of Illinois at Urbana Champaign
Estimated length of session
- 20 mins
Will you be presenting remotely?
- I will present in-person
Okay to livestream?
- Livestreaming is okay
Previously presented?
Special requests: