RAG / 检索增强生成

AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking

Cem Ashbaugh, Leon Baumgärtner, Tim Gress, Nikita Sidorov, Daniel Werner

机构 * TU Wien（维也纳技术大学） 纠错

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

Comments CLEF 2025 (Conference and Labs of the Evaluation Forum)

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs

Haotian Chen, Qingqing Long, Meng Xiao, Xiao Luo, Wei Ju, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou, Hengshu Zhu

机构 * Computer Network Information Center, Chinese Academy of Sciences（中国科学院计算机网络信息中心） ； University of California, Los Angeles（加州大学洛杉矶分校） ； Peking University（北京大学） 纠错

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

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian

Juliana Jansen Ferreira, Vinícius Segura, Joana Gabriela Souza, Joao Henrique Gallas Brasil

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

Comments 9 pages, 3 figures

Learning Contextual Retrieval for Robust Conversational Search

Seunghan Yang, Juntae Lee, Jihwan Bang, Kyuhong Shim, Minsoo Kim, Simyung Chang

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

Comments EMNLP 2025 main conference

MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering

Teng Lin, Yuyu Luo, Honglin Zhang, Jicheng Zhang, Chunlin Liu, Kaishun Wu, Nan Tang

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； The Hong Kong University of Science and Technology（香港科学与技术大学） ； China Mobile Information Technology Company Limited（中国移动信息技术有限公司） 纠错

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

Comments EMNLP2025 Main

Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging

Hongjin Qian, Zheng Liu

机构 * Beijing Academy of Artificial Intelligence（北京人工智能研究院） 纠错

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

Comments Neurips 25, Spotlight

Enhancing RAG Efficiency with Adaptive Context Compression

Shuyu Guo, Shuo Zhang, Zhaochun Ren

机构 * Shandong University（山东大学） ； Bloomberg（彭博） ； Leiden University（莱顿大学） 纠错

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

A GEN AI Framework for Medical Note Generation

Hui Yi Leong, Yi Fan Gao, Shuai Ji, Bora Kalaycioglu, Uktu Pamuksuz

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

Comments 8 Figures, 7 page, IEEE standard research paper

Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database

Vasilis Andritsoudis, Pavlos Sermpezis, Ilias Dimitriadis, Athena Vakali

机构 * Aristotle University of Thessaloniki Thessaloniki Greece ； Measurement Lab\ for Science \& Society Portland OR United States ； Aristotle University of Thessaloniki ； Measurement Lab\ for Science \& Society 纠错

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

Comments ACM Internet Measurement Conference (IMC) 2025

CANDLE: A Cross-Modal Agentic Knowledge Distillation Framework for Interpretable Sarcopenia Diagnosis

Yuqi Jin, Zhenhao Shuai, Zihan Hu, Weiteng Zhang, Weihao Xie, Jianwei Shuai, Xian Shen, Zhen Feng

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

Comments 11 pages, 4 figures, 5 tables

When Words Can't Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset

Sarmistha Das, R E Zera Marveen Lyngkhoi, Kirtan Jain, Vinayak Goyal, Sriparna Saha, Manish Gupta

机构 * Indian Institute of Technology Patna（印度帕纳布理工大学） ； Microsoft, India（微软印度） 纠错

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

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks

Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou

机构 * Peking University（北京大学） ； Beijing Academy of Artificial Intelligence（北京人工智能研究院） ； Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； University of Science and Technology of China（中国科学技术大学） ； The Hong Kong University of Science and Technology（香港科技大学） 纠错

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

Comments Neurips 25 DB Track, Spotlight

SAFE: Improving LLM Systems using Sentence-Level In-generation Attribution

João Eduardo Batista, Emil Vatai, Mohamed Wahib

机构 * RIKEN-CCS Kobe, Japan（日本神户RIKEN-CCS） 纠错

专题命中 RAG评测 ：RAG(abstract)；分类 cs.IR、cs.CL

Comments 30 pages (9 pages of content, 5 pages of references, 16 pages of supplementary material), 7 figures, 13 tables