Author

Jae-Gil Lee

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Conference Open access 2026

QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval

This work presents Q U DAR, a dual-perspective adaptive retrieval framework motivated by a systematic analysis of retrieval behavior across retriever type and query format, enabling effective integration of complementary retrieval signals while mitigating noise.

Joeun Kim, Seunghyouk Yoon, Xuan-Bach Le et al. · Annual Meeting of the Associ... · 1 citation

Preprint Jul 2026

Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability

On a human-annotated benchmark spanning eight datasets, Q-CARE achieves higher correlation with human judgments than four existing RAG evaluation metrics, including RAGEval and RAGChecker, proving its effectiveness as a reliable, automated evaluation framework.

Jeonghwan Choi, Taewon Yun, Minjeong Ban et al. · 1 citation