2 papers
cs.AI2026
XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation
Zhuoling Li, Ha Linh Hong Tran Nguyen, Valeria Bladinieres +1
Graph-based Retrieval-Augmented Generation (GraphRAG) extends traditional RAG by using knowledge graphs (KGs) to give large language models (LLMs) a structured, semantically cohere…
cs.AI2026
STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator
Alessio Sordo, Lingxiao Du, Meeka-Hanna Lenisa +2
The increasing reliance on Large Language Models (LLMs) across diverse sectors highlights the need for robust domain-specific and language-specific evaluation datasets; however, th…