RAG / 检索增强生成

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review

David Santandreu Calonge, Linda Smail

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

Comments 27 pages, 1 figure, 8 tables

REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation

Wentao Jiang, Xiang Feng, Zengmao Wang, Yong Luo, Pingbo Xu, Zhe Chen, Bo Du, Jing Zhang

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

Comments 17 pages, 4 figures; updated references

Retrieval-Augmented Generation with Conflicting Evidence

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

机构 * University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） 纠错

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

Comments COLM 2025, Data and Code: https://github.com/HanNight/RAMDocs

A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models

Jiayi Wen, Tianxin Chen, Zhirun Zheng, Cheng Huang

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

Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented Generation

Yuechen Wang, Yuming Qiao, Dan Meng, Jun Yang, Haonan Lu, Zhenyu Yang, Xudong Zhang

机构 * OPPO Research Institute（OPPO研究院） ； OPPO AI Center（OPPO人工智能中心） 纠错

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

XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation

Tianlun Zuo, Jingbin Hu, Yuke Li, Xinfa Zhu, Hai Li, Ying Yan, Junhui Liu, Danming Xie, Lei Xie

专题命中 检索器与排序 ：retrieval-augmented generation(title)

Comments Accepted by ASRU 2025

LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Erica Zhang, Ryunosuke Goto, Naomi Sagan, Jurik Mutter, Nick Phillips, Ash Alizadeh, Kangwook Lee, Jose Blanchet, Mert Pilanci, Robert Tibshirani

机构 * Stanford University School of Engineering（斯坦福大学工程学院） ； Stanford University School of Medicine（斯坦福大学医学院） ； Stanford University Department of Statistics（斯坦福大学统计学系） ； University of Wisconsin-Madison（威斯康星大学麦迪逊分校） 纠错

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 21 pages, 16 figures

DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System

Hui Yi Leong, Yuqing Wu

专题命中 检索器与排序 ：retriever(abstract)；分类 cs.AI

Comments content error

Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code

Muhammad Haseeb

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

Comments 15 pages, 5 figures, research paper on multi-agent LLM systems for code generation

GUARD:Dual-Agent based Backdoor Defense on Chain-of-Thought in Neural Code Generation

Naizhu Jin, Zhong Li, Tian Zhang, Qingkai Zeng

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)

Comments Accepted by SEKE 2025

Vector-Centric Machine Learning Systems: A Cross-Stack Approach

Wenqi Jiang

专题命中 向量检索 ：retrieval-augmented generation(abstract)；RAG(abstract)；vector search(abstract)；分类 cs.DB

Comments PhD Thesis (ETH Zurich)

AgriGPT: a Large Language Model Ecosystem for Agriculture

Bo Yang, Yu Zhang, Lanfei Feng, Yunkui Chen, Jianyu Zhang, Xiao Xu, Nueraili Aierken, Yurui Li, Yuxuan Chen, Guijun Yang, Yong He, Runhe Huang, Shijian Li

机构 * College of Computer Science and Technology, Zhejiang University, China（浙江大学计算机科学与技术学院） ； College of Software Technology, Zhejiang University, China（浙江大学软件学院） ； School of Geological Engineering and Geomatics, Chang’an University, China（长安大学地质工程与测绘学院） ； College of Biosystems Engineering and Food Science, Zhejiang University, China（浙江大学生物系统工程与食品科学学院） ； Faculty of Computer and Information Sciences, Hosei University, Japan（立命馆大学计算机与信息科学系） 纠错

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

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition

Tim Cofala, Oleh Astappiev, William Xion, Hailay Teklehaymanot

机构 * L3S Research Center（L3S研究所以） ； Inria Paris-Rocquencourt（Inria巴黎-罗克琴克特研究所） ； Rajiv Gandhi University（拉吉夫·甘地大学） ； Tsinghua University（清华大学） ； Palmer Research Laboratories（帕勒姆研究实验室） 纠错

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

Comments 4 pages, 6 figures. Report for SIGIR 2025 LiveRAG Challenge

Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens

Lucas Albarede, Jose Moreno, Lynda Tamine, Luce Lefeuvre

机构 * Dir. Technologies Innovation, SNCF（技术创新部，法国国家铁路公司） 纠错

专题命中 RAG评测 ：RAG(abstract)；分类 cs.IR、cs.CL