RAG / 检索增强生成

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking

Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed Elkoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma

机构 * Rensselaer Polytechnic Institute（罗切斯特理工学院） ； University of Toronto（多伦多大学） ； Pennsylvania State University（宾夕法尼亚州立大学） ； AT&T Chief Data Office（AT&T首席数据办公室） ； Griffith University（格里菲斯大学） 纠错

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

Comments Accepted at NeurIPS 2025 Datasets and Benchmarks Track

Relational Deep Dive: Error-Aware Queries Over Unstructured Data

Daren Chao, Kaiwen Chen, Naiqing Guan, Nick Koudas

专题命中 图谱与结构化RAG ：RAG(abstract)；分类 cs.IR、cs.DB

EasyTUS: A Comprehensive Framework for Fast and Accurate Table Union Search across Data Lakes

Tim Otto

专题命中 图谱与结构化RAG ：vector search(abstract)；分类 cs.DB

Comments Copyright 2025 IEEE. This is the author's version of the work that has been accepted for publication in Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2025). The final version of record is available at: tba