Ryan McCarthy
2026
UNH @ Rag4Reports: A Broad Exploration of LLM-Judges for RAG
Minna Tran | Ryan McCarthy | Aiden Parsons | Jaren Unzen | Laura Dietz
Proceedings of the 1st Workshop on Multilingual Report Generation via Retrieval Augmented Generation (RAG4Reports 2026)
Minna Tran | Ryan McCarthy | Aiden Parsons | Jaren Unzen | Laura Dietz
Proceedings of the 1st Workshop on Multilingual Report Generation via Retrieval Augmented Generation (RAG4Reports 2026)
We submitted a breadth of LLM-as-a-Judge approaches to Rag4Reports Task A; our top method ranked first among all submitted systems. We find that citation faithfulness is the most essential signal, and that content is best verified by checking whether cited documents cover nuggets generated from the LLM’s internal knowledge.