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cs.IR2025
T-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented Generation
Jan Strich, Enes Kutay Isgorur, Maximilian Trescher +2
Since many real-world documents combine textual and tabular data, robust Retrieval Augmented Generation (RAG) systems are essential for effectively accessing and analyzing such con…
cs.IR2025
CollEX -- A Multimodal Agentic RAG System Enabling Interactive Exploration of Scientific Collections
Florian Schneider, Narges Baba Ahmadi, Niloufar Baba Ahmadi +3
In this paper, we introduce CollEx, an innovative multimodal agentic Retrieval-Augmented Generation (RAG) system designed to enhance interactive exploration of extensive scientific…