RAG / 检索增强生成

ModernBERT + ColBERT: Enhancing biomedical RAG through an advanced re-ranking retriever

Eduardo Martínez Rivera, Filippo Menolascina

机构 * School of Informatics University of Edinburgh（信息学院爱丁堡大学） ； School of Engineering University of Edinburgh（工程学院爱丁堡大学） 纠错

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

DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation

Shaohan Wang, Licheng Zhang, Zheren Fu, Zhendong Mao, Yongdong Zhang

机构 * School of Information Science and Technology, University of Science and Technology of China（信息科学与技术学院，中国科学技术大学） ； Institute of Artificial Intelligence, Hefei Comprehensive National Science Center（人工智能研究院，合肥综合性国家科学中心） 纠错

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

AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation

Zefang Liu, Arman Anwar

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(title,abstract)；RAG(title,abstract)；分类 cs.CL

RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking

Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Meta AI ； IBM Research（IBM研究院） 纠错

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

Comments Project Link: https://github.com/jiaruzouu/T-RAG

Bridging Clinical Narratives and ACR Appropriateness Guidelines: A Multi-Agent RAG System for Medical Imaging Decisions

Satrio Pambudi, Filippo Menolascina

专题命中 检索器与排序 ：RAG(title)；retriever(abstract)；dense retrieval(abstract)

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking

Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun

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

Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs

Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng

机构 * State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences（人工智能安全国家重点实验室，计算技术研究所，中国科学院） 纠错

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

Comments Accepted at SIGIR-AP 2025

Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards

Faisal Hamman, Chenyang Zhu, Anoop Kumar, Xujun Peng, Sanghamitra Dutta, Daben Liu, Alfy Samuel

机构 * University of Maryland, College Park（马里兰大学学院公园分校） ； Capital One 纠错

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

Comments Accepted at NeurIPS 2025 Workshop on Reliable ML from Unreliable Data

Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness

Lingnan Xu, Chong Feng, Kaiyuan Zhang, Liu Zhengyong, Wenqiang Xu, Fanqing Meng

机构 * School of Computer Science, Beijing Institute of Technology（计算机学院，北京理工大学） ； Ant Group（蚂蚁集团） ； Southeast Academy of Information Technology, Beijing Institute of Technology（信息科技东南学院，北京理工大学） 纠错

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

Comments EMNLP2025 Findings

ReMoMask: Retrieval-Augmented Masked Motion Generation

Zhengdao Li, Siheng Wang, Zeyu Zhang, Hao Tang

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

Wired for Reuse: Automating Context-Aware Code Adaptation in IDEs via LLM-Based Agent

Taiming Wang, Yanjie Jiang, Chunhao Dong, Yuxia Zhang, Hui Liu

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

Comments Accepted by ASE2025

Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking

Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Korea University（韩国大学） 纠错

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

Comments Accepted to EMNLP 2025 Findings

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models

Dipam Goswami, Liying Wang, Bartłomiej Twardowski, Joost van de Weijer

机构 * Computer Vision Center, Barcelona, Spain（巴塞罗那计算机视觉中心） ； Department of Computer Science, Universitat Autònoma de Barcelona, Spain（巴塞罗那自治大学计算机科学系） ； IDEAS Research Center, Warsaw, Poland（华沙IDEAS研究中心） 纠错

专题命中 向量检索 ：retrieval augmented generation(abstract)；dense retrieval(abstract)；分类 cs.IR

Comments Accepted at CoLLAs 2025

Scalable Disk-Based Approximate Nearest Neighbor Search with Page-Aligned Graph

Dingyi Kang, Dongming Jiang, Hanshen Yang, Hang Liu, Bingzhe Li

机构 * The University of Texas at Dallas（德克萨斯大学达拉斯分校） ； Rutgers University（新泽西罗格斯大学） 纠错

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

Compressed Concatenation of Small Embedding Models

Mohamed Ayoub Ben Ayad, Michael Dinzinger, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer

机构 * University of Passau（巴伐利亚大学） 纠错

专题命中 向量检索 ：dense retrieval(abstract)

Micro-Act: Mitigating Knowledge Conflict in LLM-based RAG via Actionable Self-Reasoning

Nan Huo, Jinyang Li, Bowen Qin, Ge Qu, Xiaolong Li, Xiaodong Li, Chenhao Ma, Reynold Cheng

机构 * The University of Hong Kong（香港大学） ； BAAI（百度人工智能研究院） ； Xiamen University（厦门大学） ； The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） 纠错

专题命中 知识库问答 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；分类 cs.CL、cs.AI

Comments Accepted by ACL 2025 Main

Identifying Financial Risk Information Using RAG with a Contrastive Insight

Ali Elahi

机构 * Department of Computer Science University of Illinois Chicago（伊利诺伊大学芝加哥分校计算机科学系） ； Surlamer Investments（Surlamer投资公司） 纠错

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

Comments 7 pages, 1 figure, Workshop on Generative AI in Finance, NeurIPS 2025

Multi-Agent Collaborative Intelligence: Dual-Dial Control for Reliable LLM Reasoning

Edward Y. Chang, Ethan Y. Chang

机构 * Stanford University（斯坦福大学） ； UIUC（伊利诺伊大学香槟分校） 纠错

专题命中 长文档RAG ：RAG(abstract)；分类 cs.AI

Comments 27 pages, 5 figures, 21 tables

LogSage: An LLM-Based Framework for CI/CD Failure Detection and Remediation with Industrial Validation

Weiyuan Xu, Juntao Luo, Tao Huang, Kaixin Sui, Jie Geng, Qijun Ma, Isami Akasaka, Xiaoxue Shi, Jing Tang, Peng Cai

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

Comments 12 pages, 8 figures

Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs

Raghav Sharma, Manan Mehta

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

Comments 9 Pages

Automating construction safety inspections using a multi-modal vision-language RAG framework

Chenxin Wang, Elyas Asadi Shamsabadi, Zhaohui Chen, Luming Shen, Alireza Ahmadian Fard Fini, Daniel Dias-da-Costa

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

Comments 33 pages, 11 figures, 7 tables

3Dify: a Framework for Procedural 3D-CG Generation Assisted by LLMs Using MCP and RAG

Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino, Satoshi Ohshima, Takahiro Katagiri

机构 * Graduate School of Informatics（信息科学研究生学校） ； Nagoya University（名古屋大学） ； Research Institute for Information Technology（信息科学技术研究所） 纠错

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

Omni-Embed-Nemotron: A Unified Multimodal Retrieval Model for Text, Image, Audio, and Video

Mengyao Xu, Wenfei Zhou, Yauhen Babakhin, Gabriel Moreira, Ronay Ak, Radek Osmulski, Bo Liu, Even Oldridge, Benedikt Schifferer

机构 * NVIDIA 纠错

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

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly

Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman

机构 * CSE Department, HKUST（香港科技大学计算机科学与工程系） ； Tencent AI Seattle Lab（腾讯AI西雅图实验室） ； University of Edinburgh（爱丁堡大学） ； NVIDIA AI Technology Center (NVAITC), NVIDIA, Santa Clara, USA（英伟达圣克拉拉人工智能技术中心） 纠错

专题命中 多模态RAG ：RAG(abstract)；分类 cs.CL

Comments Accepted as a spotlight at NeurIPS 2025

SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation

Xiaqiang Tang, Yi Wang, Keyu Hu, Rui Xu, Chuang Li, Weigao Sun, Jian Li, Sihong Xie

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； Chinese Academy of Sciences（中国科学院） ； Shanghai AI Lab（上海人工智能实验室） ； Tencent Hunyuan（腾讯文英） 纠错

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

Comments Working in progress

Generating High-Level Test Cases from Requirements using LLM: An Industry Study

Satoshi Masuda, Satoshi Kouzawa, Kyousuke Sezai, Hidetoshi Suhara, Yasuaki Hiruta, Kunihiro Kudou

专题命中 RAG评测 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 11pages

Multi-Agent Code-Orchestrated Generation for Reliable Infrastructure-as-Code

Rana Nameer Hussain Khan, Dawood Wasif, Jin-Hee Cho, Ali Butt

专题命中 RAG评测 ：RAG(abstract)