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WikiStar is a system that uses an LLM classifier to tag scientifically meaningful edits in Wikipedia article revision histories, enabling interactive exploration of how scientific knowledge evolves over time. The system includes a benchmark dataset and was validated through a user study with domain experts.
A reflection on how LLM-based support automation leads to trust issues when errors occur, emphasizing the need for verification and auditability over pure accuracy improvement.
The article highlights that even a 92% accurate LLM classifier can erode trust because its mistakes are hard to explain and fix, emphasizing the need for verifiable and auditable AI systems.