RAG / 检索增强生成

Large Language Models are Strong Zero-Shot Retriever

Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang

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

Comments Work in progress

Dense Retrieval Adaptation using Target Domain Description

Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur, Srivas Prasad, Edgar Meij, W. Bruce Croft

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

PROD: Progressive Distillation for Dense Retrieval

Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan

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

Comments Accepted by WWW2023

Typo-Robust Representation Learning for Dense Retrieval

Panuthep Tasawong, Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong

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

Comments 5 pages, 2 figures

Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding

Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey

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

Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search

Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K, Amit Singh

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

Comments 7 pages, 4 figures and 6 tables

Optimizing Test-Time Query Representations for Dense Retrieval

Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee

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

Comments Findings of ACL 2023

What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary

Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson

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

Comments ACL 2023

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval

Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

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

Comments Accepted by ACL 2023 Main

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang

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

Comments ACL 2023 Findings (Code: https://github.com/yueyu1030/ReGen)

A Thorough Examination on Zero-shot Dense Retrieval

Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen

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

Questions Are All You Need to Train a Dense Passage Retriever

Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer

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

Comments Accepted to TACL, pre MIT Press publication version

Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters

Eugene Yang, Suraj Nair, Dawn Lawrie, James Mayfield, Douglas W. Oard

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

Comments 15 pages, 1 figure

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models

Shujian Zhang, Chengyue Gong, Xingchao Liu

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

Comments EMNLP 2022

Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval

Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma

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

Comments Preprint

Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval

Zehan Li, Nan Yang, Liang Wang, Furu Wei

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

Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems

Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury

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

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu

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

Comments NAACL 2022 (Findings)

Neural Retriever and Go Beyond: A Thesis Proposal

Man Luo

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

Comments Accepted to NAACL 2022 SRW

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Kexin Wang, Nandan Thakur, Nils Reimers, Iryna Gurevych

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

Comments Accepted at NAACL 2022

Exploring Dense Retrieval for Dialogue Response Selection

Tian Lan, Deng Cai, Yan Wang, Yixuan Su, Heyan Huang, Xian-Ling Mao

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

Comments 11 pages, 4 figures, 6 tables

Towards Best Practices for Training Multilingual Dense Retrieval Models

Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, Jimmy Lin

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

Multi-View Document Representation Learning for Open-Domain Dense Retrieval

Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan

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

Comments ACL 2022

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

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

Comments ACL 2022

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search

Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie

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

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Suraj Nair, Eugene Yang, Dawn Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, Douglas W. Oard

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

Comments Accepted at ECIR 2022 (Full paper)

Boosted Dense Retriever

Patrick Lewis, Barlas Oğuz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel

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

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Xinyu Zhang, Xueguang Ma, Peng Shi, Jimmy Lin

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

Comments Workshop on Multilingual Representation Learning at EMNLP 2021

Cross-Lingual Training with Dense Retrieval for Document Retrieval

Peng Shi, Rui Zhang, He Bai, Jimmy Lin

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

Visual RAG Toolkit: Scaling Multi-Vector Visual Retrieval with Training-Free Pooling and Multi-Stage Search

视觉RAG工具包：通过无训练池化和多阶段搜索扩展多向量视觉检索

Ara Yeroyan

机构 * Independent Researcher（独立研究者） 纠错

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

AI总结 视觉RAG工具包通过无训练池化和多阶段搜索提升多向量视觉检索效率，减少向量存储并提高检索吞吐量。

Comments 4 pages, 3 figures. Submitted to SIGIR 2026 Demonstrations Track. Project website: https://github.com/Ara-Yeroyan/visual-rag-toolkit