RAG / 检索增强生成

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation

Pengchao Feng, Ziyang Ma, Wenxi Chen, Yao Li, Sheng Wang, Kai Yu, Xie Chen

机构 * MoE Key Lab of Artificial Intelligence（人工智能增强实验室） ； Jiangsu Key Lab of Language Computing（江苏语言计算重点实验室） ； X-LANCE Lab（X-LANCE实验室） ； School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Aviation Electric Co., Ltd（上海航空电器有限公司） 纠错

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

Comments Accepted to EMNLP 2025 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 4499-4507

FB-RAG: Improving RAG with Forward and Backward Lookup

Kushal Chawla, Alfy Samuel, Anoop Kumar, Daben Liu

机构 * Capital One 纠错

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

Comments Accepted at Findings of AACL 2025

A Decentralized Retrieval Augmented Generation System with Source Reliabilities Secured on Blockchain

Yining Lu, Wenyi Tang, Max Johnson, Taeho Jung, Meng Jiang

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

Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private

Ruihan Wu, Erchi Wang, Zhiyuan Zhang, Yu-Xiang Wang

机构 * Computer Science and Engineering University of California, San Diego（计算机科学与工程大学加州大学圣地亚哥分校） ； Halıcıoğlu Data Science Institute University of California, San Diego（Halıcıoğlu数据科学研究所加州大学圣地亚哥分校） ； Department of Computer Science University of California, Los Angeles（计算机科学系加州大学洛杉矶分校） 纠错

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

Advancing Scientific Knowledge Retrieval and Reuse with a Novel Digital Library for Machine-Readable Knowledge

Hadi Ghaemi, Lauren Snyder, Markus Stocker

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

REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing

Kangqi Chen, Andreas Kosmas Kakolyris, Rakesh Nadig, Manos Frouzakis, Nika Mansouri Ghiasi, Yu Liang, Haiyu Mao, Jisung Park, Mohammad Sadrosadati, Onur Mutlu

机构 * ETH Zürich（苏黎世联邦理工学院） ； King’s College London（伦敦国王学院） ； POSTECH 纠错

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

Comments Extended version of our publication at the 52nd International Symposium on Computer Architecture (ISCA-52), 2025

LLM Optimization Unlocks Real-Time Pairwise Reranking

Jingyu Wu, Aditya Shrivastava, Jing Zhu, Alfy Samuel, Anoop Kumar, Daben Liu

机构 * AI Foundations, Capital One（人工智能基础，Capital One） 纠错

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

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors

Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts

机构 * stanford（斯坦福大学） 纠错

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

Comments ICML 2025

Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning

Michael Hoffmann, Jophin John, Jan Fillies, Adrian Paschke

机构 * Leibniz Supercomputing Centre（莱比锡超算中心） ； Stanford University（斯坦福大学） 纠错

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

Comments 21 pages, 8 figures. Full preprint version; shorter version in preparation

Oh That Looks Familiar: A Novel Similarity Measure for Spreadsheet Template Discovery

Anand Krishnakumar, Vengadesh Ravikumaran

机构 * Ekimetrics 纠错

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

Comments 5 pages, 2 figures, Accepted to EurIPS'25: AI for Tabular Data Workshop