RAG / 检索增强生成

CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference

CacheWeaver：面向高效接地RAG推理的缓存感知证据排序

Kaizhen Tan, Rong Gu, Mingyuan Li

机构 * Heinz College of Information Systems and Public Policy, Carnegie Mellon University（卡内基梅隆大学海因茨信息系统与公共政策学院） 纠错

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

AI总结 提出CacheWeaver，一种轻量级提示层方法，通过缓存感知的证据排序降低RAG推理的首令牌延迟，无需修改服务引擎或证据集。

BioHarness: Substrate-Aware Evidence Assembly for Biomedical Question Answering across Literature, Knowledge Bases, and Biological Atlases

BioHarness：面向生物医学问答的底物感知证据组装——跨文献、知识库和生物图谱

Meng Xiao, Chuan Qin, Jinmiao Chen, Yihang Cheng, Yuanchun Zhou, Hengshu Zhu

专题命中 知识库问答 ：RAG(abstract,abstract_cn)；retrieval-augmented generation(abstract,comments)

AI总结 提出BioHarness，通过级联控制机制在文献检索、知识库和生物图谱间选择性组装证据，提升生物医学问答准确率，在19,302个问答项上得分从65.9提升至71.0。

Comments 14 Pages, 11 Figures, Keywords: biomedical question answering; retrieval-augmented generation; large language models; evidence assembly; biomedical knowledge bases; biological atlases