RAG / 检索增强生成

WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web

Zihuai Zhao, Yujuan Ding, Wenqi Fan, Qing Li

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

ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models

Singon Kim, Gunho Jung, Seong-Whan Lee

机构 * Department of Artificial Intelligence Korea University Seoul, Republic of Korea（人工智能系韩国大学首尔韩国） 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 by IJCNN 2025

NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval

Junchen Li, Rongzheng Wang, Yihong Huang, Qizhi Chen, Jiasheng Zhang, Shuang Liang

机构 * Institute of Intelligent Computing, University of Electronic Science and Technology of China（电子科技大学智能计算研究院） 纠错

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

Comments Accepted by NeurIPS 2025

Streamlining Industrial Contract Management with Retrieval-Augmented LLMs

Kristi Topollai, Tolga Dimlioglu, Anna Choromanska, Simon Odie, Reginald Hui

机构 * New York University（纽约大学） ； Consolidated Edison Company of New York Inc.（纽约 Consolidated Edison 公司） 纠错

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

Dimension vs. Precision: A Comparative Analysis of Autoencoders and Quantization for Efficient Vector Retrieval on BEIR SciFact

Satyanarayan Pati

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

Comments 16 pages, 9 figures, 1 table

NeuCLIRBench: A Modern Evaluation Collection for Monolingual, Cross-Language, and Multilingual Information Retrieval

Dawn Lawrie, James Mayfield, Eugene Yang, Andrew Yates, Sean MacAvaney, Ronak Pradeep, Scott Miller, Paul McNamee, Luca Soldani

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

Comments 14 pages, 1 figure