RAG / 检索增强生成

A Knowledge Graph and a Tripartite Evaluation Framework Make Retrieval-Augmented Generation Scalable and Transparent

Olalekan K. Akindele, Bhupesh Kumar Mishra, Kenneth Y. Wertheim

专题命中 图谱与结构化RAG ：retrieval-augmented generation(title)；retrieval augmented generation(abstract)；RAG(abstract)；vector search(abstract)

Comments 25 Pages

From "What to Eat?" to Perfect Recipe: ChefMind's Chain-of-Exploration for Ambiguous User Intent in Recipe Recommendation

Yu Fu, Linyue Cai, Ruoyu Wu, Yong Zhao

机构 * Sichuan University Department of Computer Science Shuangliu District, Chengdu City, Sichuan Province, China（四川大学计算机学院双流区，成都市，四川省，中国） 纠错

专题命中 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.AI

Comments 5 pages, 3 figures, submitted to icassp 2026

Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning

Saksham Khatwani, He Cheng, Majid Afshar, Dmitriy Dligach, Yanjun Gao

机构 * University of Colorado Boulder（科罗拉多大学博尔德分校） ； University of Colorado Anschutz（科罗拉多大学安舒茨分校） ； University of Wisconsin - Madison（威斯康星大学麦迪逊分校） ； Loyola University Chicago（芝加哥洛约拉大学） 纠错

专题命中 图谱与结构化RAG ：retrieval augmented generation(abstract)；分类 cs.CL、cs.AI