RAG / 检索增强生成

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets

Lorenz Brehme, Thomas Ströhle, Ruth Breu

机构 * Department of Computer Science University of Innsbruck（计算机科学系因斯布鲁克大学） 纠错

专题命中 RAG评测 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.IR、cs.AI

Comments 8 Pages. This paper has been accepted for presentation at the IEEE Swiss Conference on Data Science (SDS25)

Toward Low-Latency End-to-End Voice Agents for Telecommunications Using Streaming ASR, Quantized LLMs, and Real-Time TTS

Vignesh Ethiraj, Ashwath David, Sidhanth Menon, Divya Vijay

机构 * NetoAI 纠错

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)；分类 cs.AI