RAG / 检索增强生成

All for law and law for all: Adaptive RAG Pipeline for Legal Research

Figarri Keisha, Prince Singh, Pallavi, Dion Fernandes, Aravindh Manivannan, Ilham Wicaksono, Faisal Ahmad, Wiem Ben Rim

机构 * University College London（伦敦大学学院） 纠错

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

Comments submitted to NLLP 2025 Workshop

An Iterative LLM Framework for SIBT utilizing RAG-based Adaptive Weight Optimization

Zhuo Xiao, Qinglong Yao, Jingjing Wang, Fugen Zhou, Bo Liu, Haitao Sun, Zhe Ji, Yuliang Jiang, Junjie Wang, Qiuwen Wu

机构 * Image Processing Center, Beihang University（北航图像处理中心） ； Department of Radiation Oncology, Peking University Third Hospital（北京大学第三医院放射肿瘤科） ； Department of Radiation Oncology, Duke University Medical Center（杜克大学医学中心放射肿瘤科） 纠错

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