RAG / 检索增强生成

Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation

Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li

机构 * University of Virginia（弗吉尼亚大学） ； Arizona State University（亚利桑那州立大学） 纠错

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

Comments EMNLP Main 2025

DMA: Online RAG Alignment with Human Feedback

Yu Bai, Yukai Miao, Dawei Wang, Li Chen, Fei Long, Rundi Zhai, Dan Li, Yanyu Ren, Tianfeng Liu, Hongtao Xie, Ce Yang, Xuhui Cai

机构 * Zhongguancun Laboratory（中关村实验室） ； Tsinghua University（清华大学） ； China Mobile Communications Group Co., Ltd.（中国移动通信集团有限公司） ； Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

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

ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property

Maria Mahbub, Vanessa Lama, Sanjay Das, Brian Starks, Christopher Polchek, Saffell Silvers, Lauren Deck, Prasanna Balaprakash, Tirthankar Ghosal

机构 * Oak Ridge National Laboratory（橡树岭国家实验室） ； Pacific Northwest National Laboratory（太平洋西北国家实验室） 纠错

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

Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR

Grigory Kovalev, Natalia Loukachevitch, Mikhail Tikhomirov, Olga Babina, Pavel Mamaev

机构 * Lomonosov Moscow State University, Russia（罗蒙诺索夫莫斯科国立大学） ； South Ural State University, Chelyabinsk, Russia（南乌拉尔州立大学） 纠错

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

CSPLADE: Learned Sparse Retrieval with Causal Language Models

Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong

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

Comments IJCNLP-AACL 2025 Main

When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection

Alamgir Munir Qazi, John P. McCrae, Jamal Abdul Nasir

机构 * School of Computer Science, University of Galway, Ireland（Galway大学计算机科学学院） ； Research Ireland Insight Centre and ADAPT Centre, University of Galway, Ireland（Galway大学爱尔兰研究洞察中心和ADAPT研究中心） 纠错

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

Journal ref Proceedings of the 5th Conference on Language, Data and Knowledge, pages 255-265, Naples, Italy. Unior Press, September 2025

TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG

Savini Kashmira, Jayanaka L. Dantanarayana, Joshua Brodsky, Ashish Mahendra, Yiping Kang, Krisztian Flautner, Lingjia Tang, Jason Mars

机构 * University of Michigan（密歇根大学） 纠错

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

Comments Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track

Large Language Models for Explainable Threat Intelligence

Tiago Dinis, Miguel Correia, Roger Tavares

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

Fine-Tuning MedGemma for Clinical Captioning to Enhance Multimodal RAG over Malaysia CPGs

Lee Qi Zun, Mohamad Zulhilmi Bin Abdul Halim, Goh Man Fye

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

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering

Kuicai Dong, Yujing Chang, Shijie Huang, Yasheng Wang, Ruiming Tang, Yong Liu

机构 * Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

专题命中 多模态RAG ：retrieval-augmented generation(abstract)；分类 cs.IR、cs.CL

Comments Paper accepted to NeurIPS 2025 DB

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Papineni, Mohammad Yaqub

机构 * Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） ； Department of Mathematics and Computer Science, Faculty of Science, Alexandria University（亚历山大大学数学与计算机科学系） ； Sheikh Shakhbout Medical City（谢赫·沙赫布OUT医疗城） 纠错

专题命中 多模态RAG ：retrieval-augmented generation(abstract)；分类 cs.CL

Let Me Show You: Learning by Retrieving from Egocentric Video for Robotic Manipulation

Yichen Zhu, Feifei Feng

机构 * Midea Group, AI Research Center（美的集团人工智能研究中心） 纠错

专题命中 多模态RAG ：retriever(abstract)

Comments Accepted by IROS 2025

EncouRAGe: Evaluating RAG Local, Fast, and Reliable

Jan Strich, Adeline Scharfenberg, Chris Biemann, Martin Semmann

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

Comments Currently under review

MetaRAG: Metamorphic Testing for Hallucination Detection in RAG Systems

Channdeth Sok, David Luz, Yacine Haddam

机构 * Forvia Paris Tech Center, GIT, Immeuble Lumière, 40 avenue des Terroirs de France, 75012 Paris, France（巴黎Forvia技术中心，GIT，Lumière大厦，法国巴黎75012） 纠错

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

Comments Identity-Aware AI workshop at 28th European Conference on Artificial Intelligence, October 25, 2025, Bologna, Italy