RAG / 检索增强生成

Exposing Privacy Risks in Graph Retrieval-Augmented Generation

Jiale Liu, Jiahao Zhang, Suhang Wang

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） 纠错

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

Test-time Corpus Feedback: From Retrieval to RAG

Mandeep Rathee, V Venktesh, Sean MacAvaney, Avishek Anand

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

Comments 18 pages, 1 figure

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown

Bowen Wang, Zhouqiang Jiang, Yasuaki Susumu, Shotaro Miwa, Tianwei Chen, Yuta Nakashima

机构 * Osaka University（大阪大学） ； Mitsubishi Electric Corp.（三菱电机公司） 纠错

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

Comments Aligned with ICCV 2025 camera-ready version

An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidance

Hsuan-Kung Yang, Tsu-Ching Hsiao, Ryoichiro Oka, Ryuya Nishino, Satoko Tofukuji, Norimasa Kobori

机构 * Woven by Toyota, Inc., Japan（丰田公司，日本） 纠错

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

Comments 11 pages, 9 figures, accepted to IEEE ISMAR 2025

HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data

Jiyoon Myung, Jihyeon Park, Joohyung Han

机构 * PrompTart LAB, MODULABS（PrompTart实验室，MODULABS） 纠错

专题命中 检索器与排序 ：hybrid retrieval(title,abstract)；分类 cs.IR、cs.AI

Comments Accepted at the 2nd EARL Workshop on Evaluating and Applying Recommender Systems with Large Language Models (RecSys 2025)

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever

Yixin Chen, Ying Xiong, Shangyu Wu, Yufei Cui, Xue Liu, Nan Guan, Chun Jason Xue

机构 * City University of Hong Kong（香港城市大学） ； Mohamed Bin Zayed University of Artificial Intelligence（马尔代夫穆罕默德·本·扎耶德人工智能大学） ； McGill University（麦吉尔大学） 纠错

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

Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Quanyu Long, Yue Deng, LeiLei Gan, Wenya Wang, Sinno Jialin Pan

机构 * Nanyang Technological University, Singapore（南洋理工大学） ； Zhejiang University（浙江大学） ； The Chinese University of Hong Kong（香港中文大学） 纠错

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

Comments Accepted by COLM 2025

Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method

Leqian Li, Dianxi Shi, Jialu Zhou, Xinyu Wei, Mingyue Yang, Songchang Jin, Shaowu Yang

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

Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG

Aleksander Theo Strand, Sushant Gautam, Cise Midoglu, Pål Halvorsen

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

Comments accepted to CBMI 2024 as a demonstration; https://github.com/simula/soccer-rag. arXiv admin note: text overlap with arXiv:2406.01273

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics

Mohammad Atif, Kriti Chopra, Ozgur Kilic, Tianle Wang, Zhihua Dong, Charles Leggett, Meifeng Lin, Paolo Calafiura, Salman Habib

机构 * Brookhaven National Laboratory（布鲁克海文国家实验室） ； Lawrence Berkeley National Laboratory（伯克利国家实验室） ； Argonne National Laboratory（阿贡国家实验室） 纠错

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

Comments 12 pages, 2 figures

RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation

Ziqi Guan, Xin Yin, Zhiyuan Peng, Chao Ni

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

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations

Hung-Chun Hsu, Yuan-Ching Kuo, Chao-Han Huck Yang, Szu-Wei Fu, Hanrong Ye, Hongxu Yin, Yu-Chiang Frank Wang, Ming-Feng Tsai, Chuan-Ju Wang

机构 * Research Center for Information Technology Innovation, Academia Sinica（资讯科技创新研究所以） ； NVIDIA（NVIDIA公司） ； Department of Computer Science, National Chengchi University（国立政治大学计算机科学系） 纠错

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

CLAP: Coreference-Linked Augmentation for Passage Retrieval

Huanwei Xu, Lin Xu, Liang Yuan

机构 * School of Computer and Mathematical Sciences, The University of Adelaide（计算机与数学科学学院，阿德莱德大学） 纠错

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

Comments This paper has been accepted by CIKM 2025

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval

Jonghyun Song, Youngjune Lee, Gyu-Hwung Cho, Ilhyeon Song, Saehun Kim, Yohan Jo

机构 * Graduate School of Data Science, Seoul National University（首尔国立大学数据科学研究生院） ； NAVER Corporation（NAVER公司） 纠错

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

Comments accepted to CIKM 2025 short research paper track

InReAcTable: LLM-Powered Interactive Visual Data Story Construction from Tabular Data

Gerile Aodeng, Guozheng Li, Yunshan Feng, Qiyang Chen, Yu Zhang, Chi Harold Liu

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

Comments 16 pages, 10 figures, accepted at ACM UIST 2025 (to appear)