RAG / 检索增强生成

Biomedical Literature Q&A System Using Retrieval-Augmented Generation (RAG)

Mansi Garg, Lee-Chi Wang, Bhavesh Ghanchi, Sanjana Dumpala, Shreyash Kakde, Yen Chih Chen

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

Comments 10 pages, 6 figures, 3 tables

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval

Hao Lin, Peitong Xie, Jingxue Chen, Jie Lin, Qingkun Tang, Qianchun Lu

机构 * Southeast University（东南大学） ； Nanyang Technological University（南洋理工大学） ； Wired Product Operation Division, ZTE Corporation（ZTE公司无线产品运营部） 纠错

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

Guided Decoding and Its Critical Role in Retrieval-Augmented Generation

Özgür Uğur, Musa Yılmaz, Esra Şavirdi, Özay Ezerceli, Mahmut El Huseyni, Selva Taş, Reyhan Bayraktar

机构 * Newmind AI Istanbul, Türkiye（新 mind AI 伊斯坦布尔，土耳其） 纠错

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

DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation

Xinyu Gao, Xiangtao Meng, Yingkai Dong, Zheng Li, Shanqing Guo

机构 * School of Cyber Science and Technology, Shandong University（山东大学计算机科学与技术学院） ； Department of Engineering Software, School of Civil Engineering, Shandong University（山东大学土木工程学院工程软件系） ； State Key Laboratory of Cryptography and Digital Economy Security, Shandong University（山东大学密码与数字经济安全国家重点实验室） ； Shandong Key Laboratory of Artificial Intelligence Security, Shandong University（山东省人工智能安全重点实验室） 纠错

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

Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis

James McGreivy, Blaise Delaney, Anja Beck, Mike Williams

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

Comments 17 pages, 3 figures

ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula

ZiXuan Zhang, Bowen Hao, Yingjie Li, Hongzhi Yin

机构 * School of Management, Capital Normal University（管理学院，首都师范大学） ； School of Electrical Engineering and Computer Science, the University of Queensland（电气工程与计算机科学学院，昆士兰大学） 纠错

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

HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data

Cheng Qian, Hainan Zhang, Yongxin Tong, Hong-Wei Zheng, Zhiming Zheng

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

Comments 9 pages, 7 figures

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion

Xingliang Wang, Baoyi Wang, Chen Zhi, Junxiao Han, Xinkui Zhao, Jianwei Yin, Shuiguang Deng

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

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

Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation

Weitao Li, Kaiming Liu, Xiangyu Zhang, Xuanyu Lei, Weizhi Ma, Yang Liu

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

SasAgent: Multi-Agent AI System for Small-Angle Scattering Data Analysis

Lijie Ding, Changwoo Do

机构 * Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA（橡树岭国家实验室中子散射部） 纠错

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

Comments 8 pages, 7 figures

Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device

Niansong Zhang, Wenbo Zhu, Courtney Golden, Dan Ilan, Hongzheng Chen, Christopher Batten, Zhiru Zhang

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

Comments MICRO 2025

Proof-Carrying Numbers (PCN): A Protocol for Trustworthy Numeric Answers from LLMs via Claim Verification

Aivin V. Solatorio

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

HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals

Lingbo Mo, Shun Jiang, Akash Maharaj, Bernard Hishamunda, Yunyao Li

机构 * The Ohio State University（俄亥俄州立大学） ； Adobe Inc.（Adobe公司） 纠错

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

Comments Accepted to DaSH Workshop at VLDB 2025

Modeling shopper interest broadness with entropy-driven dialogue policy in the context of arbitrarily large product catalogs

Firas Jarboui, Issa Memari

机构 * Gorgias Paris France（巴黎高斯集团） 纠错

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

Toward Efficient and Scalable Design of In-Memory Graph-Based Vector Search

Ilias Azizi, Karima Echihab, Themis Palpanas, Vassilis Christophides

专题命中 向量检索 ：vector search(title,abstract)；分类 cs.IR、cs.DB

Comments Presented at ICML 2025 VecDB Workshop; an extended version appeared in ACM SIGMOD 2025 ('Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art')

DISTRIBUTEDANN: Efficient Scaling of a Single DISKANN Graph Across Thousands of Computers

Philip Adams, Menghao Li, Shi Zhang, Li Tan, Qi Chen, Mingqin Li, Zengzhong Li, Knut Risvik, Harsha Vardhan Simhadri

专题命中 向量检索 ：vector search(abstract)；分类 cs.IR

PL-CA: A Parametric Legal Case Augmentation Framework

Ao Chang, Yubo Chen, Jun Zhao

专题命中 长文档RAG ：RAG(abstract)；分类 cs.CL、cs.AI

RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence

Vipula Rawte, Rajarshi Roy, Gurpreet Singh, Danush Khanna, Yaswanth Narsupalli, Basab Ghosh, Abhay Gupta, Argha Kamal Samanta, Aditya Shingote, Aadi Krishna Vikram, Vinija Jain, Aman Chadha, Amit Sheth, Amitava Das

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

Beamforming-LLM: What, Where and When Did I Miss?

Vishal Choudhari

机构 * Columbia University（哥伦比亚大学） ； Institute for Clarity in Documentation（清晰文档研究所） ； Inria Paris-Rocquencourt（Inria巴黎- Rocquencourt研究所） ； Rajiv Gandhi University（拉贾·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 图谱与结构化RAG ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL、cs.AI

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval

Chi Minh Bui, Ngoc Mai Thieu, Van Vinh Nguyen, Jason J. Jung, Khac-Hoai Nam Bui

机构 * Viettel AI, Viettel Group（越南 Viettel 集团 AI 部门） ； University of Engineering and Technology, Vietnam National University, Hanoi（越南国家大学河内工程大学） ； Department of Computer Engineering, Chung-Ang University（Chung-Ang 大学计算机工程系） 纠错

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

Comments Accepted at Main EMNLP 2025

Dynamic Injection of Entity Knowledge into Dense Retrievers

Ikuya Yamada, Ryokan Ri, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

机构 * Studio Ousia（Ousia工作室） ； RIKEN AIP（理化学研究所AIP） ； SB Intuitions ； The University of Tokyo（东京大学） 纠错

专题命中 图谱与结构化RAG ：retriever(abstract)；分类 cs.CL

Comments EMNLP Findings

Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and Voting

Ana Rita Ortigoso, Gabriel Vieira, Daniel Fuentes, Luis Frazão, Nuno Costa, António Pereira

机构 * Polytechnic University of Leiria（莱里亚理工大学） 纠错

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

Comments 28 pages, 5 figures. Submitted for review to Information Fusion

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection

Jerry Li, Evangelos Papalexakis

机构 * University of California, Riverside（加州大学河滨分校） 纠错

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

Compare: A Framework for Scientific Comparisons

Moritz Staudinger, Wojciech Kusa, Matteo Cancellieri, David Pride, Petr Knoth, Allan Hanbury

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

Comments Accepted at CIKM 2025

Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models

Weiyi Wu, Xinwen Xu, Chongyang Gao, Xingjian Diao, Siting Li, Lucas A. Salas, Jiang Gui

机构 * Dartmouth College（达特茅斯学院） ； Massachusetts General Hospital（麻省总医院） ； Northwestern University（西北大学） 纠错

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