AIBullisharXiv – CS AI · Mar 26/1010
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Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment
Researchers developed the TREC 2025 DRAGUN Track to evaluate AI systems that help readers assess news trustworthiness through automated report generation. The initiative created reusable evaluation resources including human-assessed rubrics and an AutoJudge system that correlates well with human evaluations for RAG-based news analysis tools.