Daeyong Kwon

GRADE: Generating multi-hop QA and fine-gRAined Difficulty matrix for RAG Evaluation

Retrieval-Augmented Generation (RAG) systems are widely adopted in knowledge-intensive NLP tasks, but current evaluations often overlook the structural complexity and multi-step reasoning required in real-world scenarios. These benchmarks overlook key factors such as the interaction between retrieva