RAG / 检索增强生成

RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering

Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber

专题命中 知识库问答 ：retrieval-augmented generation(title,abstract)；RAG(abstract)；hybrid retrieval(abstract)；分类 cs.IR

Comments Accepted at SIGIR 2025

Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models

Gaurav Negi, Atul Kr. Ojha, Omnia Zayed, Paul Buitelaar

机构 * Insight SFI Research Ireland Centre for Data Analytics, University of Galway（爱尔兰数据分析师中心，Galway大学） 纠错

专题命中 知识库问答 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering

Chang Zong, Jian Wan, Siliang Tang, Lei Zhang

机构 * Zhejiang University of Science and Technology（浙江理工大学） ； Zhejiang University（浙江大学） 纠错

专题命中 知识库问答 ：RAG(abstract)；分类 cs.CL、cs.AI

Comments 13 pages, 6 figures

How to Make Museums More Interactive? Case Study of Artistic Chatbot

Filip J. Kucia, Bartosz Grabek, Szymon D. Trochimiak, Anna Wróblewska

专题命中 知识库问答 ：RAG(abstract)；分类 cs.IR

Comments 7 pages, 3 figures