RAG / 检索增强生成

Towards Exception Safety Code Generation with Intermediate Representation Agents Framework

Xuanming Zhang, Yuxuan Chen, Yuan Yuan, Minlie Huang

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； Stanford University（斯坦福大学） ； Tsinghua University（清华大学） ； Beihang University（北航大学） 纠错

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

Introducing Answered with Evidence -- a framework for evaluating whether LLM responses to biomedical questions are founded in evidence

Julian D Baldwin, Christina Dinh, Arjun Mukerji, Neil Sanghavi, Saurabh Gombar

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

Comments 17 pages; 3 figures; 3 main tables. This work will be submitted for full publication shortly;wanted to share ahead of industry conference

Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work

Guangwei Zhang

机构 * School of History and Civilization, Shaanxi Normal University（历史与文明学院，陕西师范大学） 纠错

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

P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code

Wali Mohammad Abdullah, Azmain Kabir

机构 * Mathematics \& Information Technology Concordia University of Edmonton Edmonton, Alberta, Canada ； Computer Science University of Manitoba Winnipeg, Manitoba, Canada 纠错

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

UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses

Weronika Łajewska, Ivica Kostric, Gabriel Iturra-Bocaz, Mariam Arustashvili, Krisztian Balog

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

Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

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.CL

Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges

Alexander D. Kalian, Jaewook Lee, Stefan P. Johannesson, Lennart Otte, Christer Hogstrand, Miao Guo

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

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models

Dipayan Saha, Shams Tarek, Hasan Al Shaikh, Khan Thamid Hasan, Pavan Sai Nalluri, Md. Ajoad Hasan, Nashmin Alam, Jingbo Zhou, Sujan Kumar Saha, Mark Tehranipoor, Farimah Farahmandi

机构 * Department of Electrical and Computer Engineering, University of Florida（电子与计算机工程系，佛罗里达大学） 纠错

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

RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding

Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh

机构 * National University of Singapore（新加坡国立大学） ； DAMO Academy, Alibaba Group（阿里巴巴集团达摩院） ； Hupan Lab, 310023, Hangzhou, China（杭州研究院） 纠错

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

Comments ICML 2025 Spotlight

AviationLLM: An LLM-based Knowledge System for Aviation Training

Jia'ang Wan, Feng Shen, Fujuan Li, Yanjin Sun, Yan Li, Shiwen Zhang

机构 * Wuhan University（武汉大学） ； China Eastern Technology Application Research And Development Center Co., Ltd（中国东方技术应用研发有限公司） 纠错

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

Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations

Chia-Heng Yu, Yen-Lung Tsai

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

Comments 19 pages, 5 figures, Code available at https://github.com/arthur422tp/hierachical

Consistent Autoformalization for Constructing Mathematical Libraries

Lan Zhang, Xin Quan, Andre Freitas

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

Comments EMNLP 2024 camera-ready

Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger

Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences, China（中国科学院大学人工智能学院） ； MAIS, Institute of Automation, Chinese Academy of Sciences, China（中国科学院自动化研究所MAIS部） ； Alibaba Cloud Computing, China（阿里巴巴云计算） 纠错

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

Comments ICML 2025 Spotlight. 22 pages, 16 figures

Improving LLM-Powered EDA Assistants with RAFT

Luyao Shi, Michael Kazda, Charles Schmitter, Hemlata Gupta

机构 * IBM Research San Jose, CA（IBM桑 Jose研究院） ； IBM Infrastructure Poughkeepsie, NY（IBM基础设施部） 纠错

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

Comments Accepted paper at IEEE International Conference on LLM-Aided Design, 2025 (LAD 2025)

Towards Efficient Key-Value Cache Management for Prefix Prefilling in LLM Inference

Yue Zhu, Hao Yu, Chen Wang, Zhuoran Liu, Eun Kyung Lee

机构 * IBM T. J. Watson Research Center（IBM T. J. Watson研究院） 纠错

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

Comments This paper has been accepted at IEEE Cloud 2025 as WIP paper. The final version will appear in IEEE Xplore

Public Discourse Sandbox: Facilitating Human and AI Digital Communication Research

Kristina Radivojevic, Caleb Reinking, Shaun Whitfield, Paul Brenner

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

AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments

Saeid Ario Vaghefi, Aymane Hachcham, Veronica Grasso, Jiska Manicus, Nakiete Msemo, Chiara Colesanti Senni, Markus Leippold

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

syftr: Pareto-Optimal Generative AI

Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Schmidt, Mark Steadman, Nick Volynets

机构 * DataRobot 纠错

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

Comments International Conference on Automated Machine Learning (AutoML) 2025

LLMs for Supply Chain Management

Haojie Wang, Jiuyun Jiang, L. Jeff Hong, Guangxin Jiang

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

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization

Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao

机构 * First Author Affiliation（第一作者机构） ； Second Author Affiliation（第二作者机构） 纠错

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

Comments preprint, under review

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation

Sirui Xia, Xintao Wang, Jiaqing Liang, Yifei Zhang, Weikang Zhou, Jiaji Deng, Fei Yu, Yanghua Xiao

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

Comments Accepted to NAACL 2025 Findings

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

Qinkai Yu, Mingyu Jin, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang

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

Comments Accepted by ACL 2025 NLP4PosImpact Workshop

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering

Zhang Siyue, Xue Yuxiang, Zhang Yiming, Wu Xiaobao, Luu Anh Tuan, Zhao Chen

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

Hacking, The Lazy Way: LLM Augmented Pentesting

Dhruva Goyal, Sitaraman Subramanian, Aditya Peela, Nisha P. Shetty

机构 * BugBase Security（BugBase安全公司） ； MIT, Manipal University（MIT曼谷大学） 纠错

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

Comments This work has been submitted to the IEEE for possible publication. Nisha P. Shetty has been added as an author as the new version includes work under her supervision, enhancing the research. Significant changes have been made in the methodology, survey, and introduction sections

ELITE: Embedding-Less retrieval with Iterative Text Exploration

Zhangyu Wang, Siyuan Gao, Rong Zhou, Hao Wang, Li Ning

机构 * University of Southern California（南加州大学） ； Jilin University（吉林大学） ； National Supercomputing Center in Shenzhen（深圳国家超算中心） ； Wuhan University（武汉大学） ； Stellaris AI Limited（Stellaris AI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.CL

CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies

Komal Gilani, Marlo Verket, Christof Peters, Michel Dumontier, Hans-Peter Brunner-La Rocca, Visara Urovi

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

Comments 25 pages (one column), 7 figures

Enhancing tutoring systems by leveraging tailored promptings and domain knowledge with Large Language Models

Mohsen Balavar, Wenli Yang, David Herbert, Soonja Yeom

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

Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice

José Siqueira de Cerqueira, Kai-Kristian Kemell, Rebekah Rousi, Nannan Xi, Juho Hamari, Pekka Abrahamsson

机构 * Tampere University（塔尔基耶大学） ； University of Vaasa（瓦萨大学） 纠错

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

Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation

Zongyuan Li, Pengfei Li, Runnan Qi, Yanan Ni, Lumin Jiang, Hui Wu, Xuebo Zhang, Kuihua Huang, Xian Guo

机构 * College of Artificial Intelligence, Nankai University（南开大学人工智能学院） ； Laboratory for Big Data and Decision, National University of Defense Technology（国防科技大学大数据与决策实验室） 纠错

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

Detecting Manipulated Contents Using Knowledge-Grounded Inference

Mark Huasong Meng, Ruizhe Wang, Meng Xu, Chuan Yan, Guangdong Bai

机构 * Technical University of Munich（慕尼黑技术大学） ； University of Waterloo（滑铁卢大学） ； The University of Queensland（昆士兰大学） 纠错

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

Comments 16 pages