RAG / 检索增强生成

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare

Ravi Shankar, Sheng Wong, Lin Li, Magdalena Bachmann, Alex Silverthorne, Beth Albert, Gabriel Davis Jones

机构 * Oxford Digital Health Labs（牛津数字健康实验室） ； Nuffield Department of Women’s and Reproductive Health（妇女与生殖健康尼富尔德部门） ； University of Oxford（牛津大学） ； OATML ； Department of Computer Science（计算机科学系） 纠错

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

MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models

Andreas Ottem

机构 * Independent Researcher（独立研究者） 纠错

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

Comments 16 pages, 7 figures, held online presentation at NLPA 2025

Retrieval-Augmented Machine Translation with Unstructured Knowledge

Jiaan Wang, Fandong Meng, Yingxue Zhang, Jie Zhou

机构 * Pattern Recognition Center, WeChat AI, Tencent Inc（模式识别中心、微信AI、腾讯公司） 纠错

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

Comments EMNLP 2025 Findings

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies

Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop Mayampurath, Dmitriy Dligach, Majid Afshar

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； Boston Children’s Hospital Harvard Medical School（波士顿儿童医院哈佛医学院） ； University of Colorado Anschutz（科罗拉多大学安舒茨分校） ； Loyola University Chicago（芝加哥洛约拉大学） 纠错

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

Cognitive Workspace: Active Memory Management for LLMs -- An Empirical Study of Functional Infinite Context

Tao An

机构 * Hawaii Pacific University（夏威夷太平洋大学） 纠错

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

Comments 13 pages, 1 figure, code available at https://github.com/tao-hpu/cognitive-workspace

Leaps Beyond the Seen: Reinforced Reasoning Augmented Generation for Clinical Notes

Lo Pang-Yun Ting, Chengshuai Zhao, Yu-Hua Zeng, Yuan Jee Lim, Kun-Ta Chuang, Huan Liu

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

Intent Aware Context Retrieval for Multi-Turn Agricultural Question Answering

Abhay Vijayvargia, Ajay Nagpal, Kundeshwar Pundalik, Atharva Savarkar, Smita Gautam, Pankaj Singh, Rohit Saluja, Ganesh Ramakrishnan

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

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting

Aman Gupta, Yingying Zhuang, Zhou Yu, Ziji Zhang, Anurag Beniwal

机构 * Amazon（亚马逊） 纠错

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

Comments Accepted at Prompt Optimization KDD '25

Retrieval-Augmented Clinical Benchmarking for Contextual Model Testing in Kenyan Primary Care: A Methodology Paper

Fred Mutisya, Shikoh Gitau, Christine Syovata, Diana Oigara, Ibrahim Matende, Muna Aden, Munira Ali, Ryan Nyotu, Diana Marion, Job Nyangena, Nasubo Ongoma, Keith Mbae, Elizabeth Wamicha, Eric Mibuari, Jean Philbert Nsengemana, Talkmore Chidede

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

Comments 29 pages, 6 figs, 6 tables. Companion methods paper forthcoming

Towards Geo-Culturally Grounded LLM Generations

Piyawat Lertvittayakumjorn, David Kinney, Vinodkumar Prabhakaran, Donald Martin, Sunipa Dev

机构 * Google（谷歌） ； Washington University in St. Louis（华盛顿大学圣路易斯分校） 纠错

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

Comments ACL 2025 (main conference)

GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval

Savini Kashmira, Jayanaka L. Dantanarayana, Krisztián Flautner, Lingjia Tang, Jason Mars

机构 * University of Michigan（密歇根大学） 纠错

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

Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA

Shashank Verma, Fengyi Jiang, Xiangning Xue

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

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

Comments Paper submitted to CLEF 2025 CEUR-WS

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks

Xinxi Lyu, Michael Duan, Rulin Shao, Pang Wei Koh, Sewon Min

机构 * Allen Institute for AI（艾伦人工智能研究所） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； University of Southern California（南加州大学） ； University of Washington（华盛顿大学） 纠错

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

Comments 33 pages, 2 figures, 27 tables

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning

Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

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

Comments Accepted to ACL 2025 Main Conference

Literature-Grounded Novelty Assessment of Scientific Ideas

Simra Shahid, Marissa Radensky, Raymond Fok, Pao Siangliulue, Daniel S. Weld, Tom Hope

机构 * Microsoft（微软公司） ； University of Washington（华盛顿大学） ； Allen Institute for AI（人工智能研究所） 纠错

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

Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization

Alireza Salemi, Hamed Zamani

机构 * University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校） 纠错

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

Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning

Russell Beale

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

Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning

Liying Wang, Ph. D., Daffodil Carrington, M. S., Daniil Filienko, M. S., Caroline El Jazmi, M. S., Serena Jinchen Xie, M. S., Martine De Cock, Ph. D., Sarah Iribarren, Ph. D., Weichao Yuwen, Ph. D

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

Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations

Leonardo Ranaldi, Marco Valentino, Andrè Freitas

机构 * Idiap Research Institute（Idiap研究机构） ； Department of Computer Science, University of Manchester（曼彻斯特大学计算机科学系） ； National Biomarker Centre (NBC), CRUK Manchester Institute（国家生物标志物中心（NBC），CRUK曼彻斯特研究所） 纠错

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

Journal ref 2025.naacl-long.557

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval

Yaoyang Liu, Junlin Li, Yinjun Wu, Zhen Chen

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

Comments Published in ICML 2025

ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance

Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu

机构 * Department of Computer Science and Technology, Northeastern University, China（东北大学计算机科学与技术系） ； Department of Computer Science and Technology, Institute for AI, Tsinghua University, China（清华大学人工智能研究院计算机科学与技术系） ； Beijing National Research Center for Information Science and Technology, China（北京信息科学与技术国家研究中心） 纠错

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

Comments 16 pages, 10 tables, 5 figures

Evaluating the Retrieval Robustness of Large Language Models

Shuyang Cao, Karthik Radhakrishnan, David Rosenberg, Steven Lu, Pengxiang Cheng, Lu Wang, Shiyue Zhang

机构 * Bloomberg（彭博） ； University of Michigan（密歇根大学） 纠错

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

Comments 19 pages

AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels

Lei Li, Xiangxu Zhang, Xiao Zhou, Zheng Liu

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院 Gallagher 学院） 纠错

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

Comments 19 pages, 15 tables

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs

Ziyu Ge, Yuhao Wu, Daniel Wai Kit Chin, Roy Ka-Wei Lee, Rui Cao

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

Comments Camera-ready for IJCAI 2025, AI and Social Good

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval

Taiye Chen, Zeming Wei, Ang Li, Yisen Wang

机构 * School of EECS, Peking University（电子工程系，北京大学） ； School of Mathematical Sciences, Peking University（数学系，北京大学） ； State Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University（通用人工智能国家重点实验室，智能科学与技术学校，北京大学） ； Institute for Artificial Intelligence, Peking University（人工智能研究院，北京大学） 纠错

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

RAR: Setting Knowledge Tripwires for Retrieval Augmented Rejection

Tommaso Mario Buonocore, Enea Parimbelli

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

Comments 7 pages, 4 figures, 2 tables

Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering

Hessa Alawwad, Usman Naseem, Areej Alhothali, Ali Alkhathlan, Amani Jamal

机构 * Faculty of Computing and Information Technology, King Abdulaziz University（计算机与信息科技学院，国王阿卜杜勒阿齐兹大学） ； College of Computer and Information Science, Imam Mohammad Ibn Saud Islamic University (IMSIU)（计算机与信息科学学院，伊玛目穆罕默德·本·萨乌德伊斯兰大学） ； School of Computing, Macquarie University（计算学院，麦考瑞大学） 纠错

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

Comments 14 pages, 16 figure

MedEIR: A Specialized Medical Embedding Model for Enhanced Information Retrieval

Anand Selvadurai, Jasheen Shaik, Girish Chandrasekar, ShriRadhaKrishnan Balamurugan, Eswara Reddy

机构 * Lokasani CompIndia Infotech Pvt. Ltd（洛卡桑尼康普印度科技有限公司） 纠错

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

Comments 9 pages, 1 figure. This manuscript is a substantial revision of a previously submitted paper. We have explicitly clarified novelty, strengthened scholarly depth, and expanded experimental validation

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework

Mengshuo Jia, Zeyu Cui, Gabriela Hug

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

Comments 16 pages

Let's have a chat with the EU AI Act

Adam Kovari, Yasin Ghafourian, Csaba Hegedus, Belal Abu Naim, Kitti Mezei, Pal Varga, Markus Tauber

机构 * Research Studios Austria（研究工作室奥地利） ； Budapest University of Technology and Economics（布达佩斯技术大学） ； HUN-REN Centre for Social Sciences（匈牙利-中国社会科学中心） 纠错

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