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20192026
most citedRobust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy

4 citations · 4 across the 5 of their papers we have counts for

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cs.AI2026

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

Jeonghwan Choi, Taewon Yun, Minjeong Ban +3

Retrieval-augmented generation improves the factuality of large language models by grounding responses in retrieved evidence, yet existing evaluation frameworks struggle to provide…