RAG / 检索增强生成

Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering

Piotr Rybak, Maciej Ogrodniczuk

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

Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation

Zizhong Li, Haopeng Zhang, Jiawei Zhang

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

Comments 10 pages, 8 figures

Generative Dense Retrieval: Memory Can Be a Burden

Peiwen Yuan, Xinglin Wang, Shaoxiong Feng, Boyuan Pan, Yiwei Li, Heda Wang, Xupeng Miao, Kan Li

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

Comments EACL 2024 main

Journal ref EACL 2024 main

Generative Multi-Modal Knowledge Retrieval with Large Language Models

Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou

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

Comments Accepted to AAAI 2024

Concurrent Brainstorming & Hypothesis Satisfying: An Iterative Framework for Enhanced Retrieval-Augmented Generation (R2CBR3H-SR)

Arash Shahmansoori

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

Comments 3 pages, 1 table, double column IEEE journal format paper

DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework

Keonwoo Kim, Younggun Lee

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

Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval

Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn

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

Comments Accepted by EMNLP 2023 Findings

Selecting which Dense Retriever to use for Zero-Shot Search

Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon

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

CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation

Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu, Chen-An Li, Yun-Nung Chen

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

Comments Accepted to SIGDIAL 2023

Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track

Guangwei Xu, Yangzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo

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

Comments TREC 2022 Deep Learning Track

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method

Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng

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

Comments Accept by CIKM2023, 10 pages

Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval

Haoxiang Shi, Sumio Fujita, Tetsuya Sakai

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

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)