2 papers
cs.IR2026
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines
Dvir Cohen, Tamir Houri, Lin Burg +1
Retrieval-Augmented Generation (RAG) systems couple large language models with external knowledge, yet most evaluation methods report aggregate scores that reveal whether a pipelin…
cs.AI2025
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation
Dvir Cohen, Lin Burg, Sviatoslav Pykhnivskyi +4
Retrieval-Augmented Generation (RAG) is a cornerstone of modern question answering (QA) systems, enabling grounded answers based on external knowledge. Although recent progress has…