RAG / 检索增强生成

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering

Zihan Wang, Zihan Liang, Zhou Shao, Yufei Ma, Huangyu Dai, Ben Chen, Lingtao Mao, Chenyi Lei, Yuqing Ding, Han Li

机构 * Kuaishou Technology, Beijing, China（快手科技，北京，中国） ； Peking University, Beijing, China（北京大学，北京，中国） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(title,abstract)；RAG(title,abstract)；分类 cs.IR、cs.CL、cs.AI

Comments EMNLP'25 Oral Presentation. Contact: benchen4395@gmail.com

Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval

Yaodong Su, Yixiang Fang, Yingli Zhou, Quanqing Xu, Chuanhui Yang

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） 纠错

专题命中 检索器与排序 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.IR、cs.AI

Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs

Hanqing Li, Kiran Sheena Jyothi, Henry Liang, Sharika Mahadevan, Diego Klabjan

机构 * Northwestern University（西北大学） ； EXL Service（EXL服务） ； Vail Systems（Vail系统） ； Netflix 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL、cs.AI

Redefining CX with Agentic AI: Minerva CQ Case Study

Garima Agrawal, Riccardo De Maria, Kiran Davuluri, Daniele Spera, Charlie Read, Cosimo Spera, Jack Garrett, Don Miller

机构 * Minerva CQ AI Research Division（Minerva CQ人工智能研究部） 纠错

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

Accelerating Discovery: Rapid Literature Screening with LLMs

Santiago Matalonga, Domenico Amalfitano, Jean Carlo Rossa Hauck, Martín Solari, Guilherme H. Travassos

专题命中 RAG评测 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments This version of the manuscript has been submitted to Empirical Software Engieering Journal for consideration