RAG / 检索增强生成 - arXivDaily 专题

2308.12022 2024-03-22 cs.CL 79%

Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information

Hongyin Zhu

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

2306.12245 2024-03-21 cs.CL 79%

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking

Yinghui Li, Yong Jiang, Yangning Li, Xingyu Lu, Pengjun Xie, Ying Shen, Hai-Tao Zheng

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

2306.02371 2024-03-21 cs.IR 79%

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval

Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma

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

Comments 10 pages

2403.08970 2024-03-15 cs.IR 79%

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling

Minghan Li, Eric Gaussier

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

Comments 12 pages, accepted by COLING 2024

2403.08904 2024-03-15 cs.CL 79%

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin van Liemt, Kathleen Meier-Hellstern, Lucas Dixon

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

Comments Accepted at LREC-COLING 2024

2402.11855 2024-02-20 cs.IR 79%

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang

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

Comments 9 pages, 4 figures

2312.02538 2024-01-17 cs.IR 79%

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval

Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng

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

Comments Accepted by WSDM2024, update

2304.08138 2023-11-28 cs.IR 79%

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval

Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang

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

Comments 10 pages, accepted at SIGIR-AP

2311.03798 2023-11-08 cs.CL 79%

Noisy Pair Corrector for Dense Retrieval

Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo

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

Comments Findings of EMNLP 2023

2212.09146 2023-11-06 cs.CL 79%

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model

Parishad BehnamGhader, Santiago Miret, Siva Reddy

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

Comments Accepted in EMNLP2023 Findings

2212.09114 2023-10-31 cs.CL 79%

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion

Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu Ming Yiu, Nan Duan

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

Comments Accetpted to EMNLP 2023

2305.15720 2023-10-24 cs.IR 79%

Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors

George Zerveas, Navid Rekabsaz, Carsten Eickhoff

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

Comments EMNLP 2023

2305.06983 2023-10-24 cs.CL cs.LG 79%

Active Retrieval Augmented Generation

Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig

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

Comments EMNLP 2023

2310.13262 2023-10-23 cs.CL 79%

A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase Generation

Xue Zhang, Songming Zhang, Yunlong Liang, Yufeng Chen, Jian Liu, Wenjuan Han, Jinan Xu

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

Comments Accepted to EMNLP 2023

2308.04711 2023-10-16 cs.CL 79%

Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval

Tim Hartill, Diana Benavides-Prado, Michael Witbrock, Patricia J. Riddle

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

2308.11474 2023-08-23 cs.IR 79%

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval

Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Fan Yixing, Hongyu Shan, Qishen Zhang, Zhongyi Liu

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

Comments accepted by cikm2023

2308.10191 2023-08-22 cs.IR 79%

Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval

Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun

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

Comments Accepted at SIGIR2023

2308.03365 2023-08-15 cs.CL 79%

Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever

Shijue Huang, Bingbing Wang, Libo Qin, Qin Zhao, Ruifeng Xu

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

Comments Accepted to NLPCC2023

2209.00218 2023-08-01 cs.CL 79%

Isotropic Representation Can Improve Dense Retrieval

Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee

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

Comments 9 pages, 4 figures

2305.17331 2023-05-30 cs.CL cs.LG 79%

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In

Zichun Yu, Chenyan Xiong, Shi Yu, Zhiyuan Liu

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

Comments Accepted to ACL 2023

2305.04320 2023-05-17 cs.CL 79%

Unified Demonstration Retriever for In-Context Learning

Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu

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

Comments ACL 2023 camera ready version

2304.14856 2023-05-01 cs.IR 79%

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng

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

Comments Accepted by SIGIR 2023

2304.05845 2023-04-13 cs.CL 79%

Rethinking Dense Retrieval's Few-Shot Ability

Si Sun, Yida Lu, Shi Yu, Xiangyang Li, Zhonghua Li, Zhao Cao, Zhiyuan Liu, Deiming Ye, Jie Bao

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

Comments Work in progress

2206.14649 2023-03-30 cs.IR cs.LG 79%

Cooperative Retriever and Ranker in Deep Recommenders

Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen

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

Comments 12pages, 4 figures, WWW'23

2112.06400 2023-03-22 cs.IR 79%

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study

Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon

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

Comments Accepted at ECIR 2022

2208.13661 2023-03-06 cs.CL 79%

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval

Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

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

Comments 14 pages, 6 tables, 4 figures. WWW 2023

2301.12400 2023-02-09 cs.AI 79%

HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots

Bolin Zhang, Yunzhe Xu, Zhiying Tu, Dianhui Chu

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

2212.06552 2022-12-14 cs.IR 79%

Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling

Minghan Li, Eric Gaussier

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

Comments 16 pages

2211.08614 2022-11-17 cs.IR cs.HC 79%

H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship

Paul Seurin, Olusola Olabanjo, Joseph Wiggins, Lorien Pratt, Loveneesh Rana, Rozhin Yasaei, Gregory Renard

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

Comments 25 pages

2211.03790 2022-11-09 cs.RO cs.AI 79%

Knowledge Retrieval using Foon

Vara Bhavya Sri Malli

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

Comments arXiv admin note: text overlap with arXiv:1902.01537 by other authors. text overlap with arXiv:2211.02992

1. 检索器与排序 4558 篇

Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval

Noisy Pair Corrector for Dense Retrieval

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion

Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors

Active Retrieval Augmented Generation

A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase Generation

Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval

Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval

Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever

Isotropic Representation Can Improve Dense Retrieval

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In

Unified Demonstration Retriever for In-Context Learning

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

Rethinking Dense Retrieval's Few-Shot Ability

Cooperative Retriever and Ranker in Deep Recommenders

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval

HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots

Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling

H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship

Knowledge Retrieval using Foon