RAG / 检索增强生成

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study

Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen

机构 * State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China（认知智能国家重点实验室，中国科学技术大学） 纠错

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

Comments Accepted by CIKM 2025

AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents

Jiabin Tang, Tianyu Fan, Chao Huang

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

Comments Code: https://github.com/HKUDS/AutoAgent

Profit Mirage: Revisiting Information Leakage in LLM-based Financial Agents

Xiangyu Li, Yawen Zeng, Xiaofen Xing, Jin Xu, Xiangmin Xu

机构 * South China University of Technology（华南理工大学） ； Pazhou Lab（黄埔实验室） 纠错

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