RAG / 检索增强生成 - arXivDaily 专题

2202.01110 2022-02-15 cs.CL 57%

A Survey on Retrieval-Augmented Text Generation

Huayang Li, Yixuan Su, Deng Cai, Yan Wang, Lemao Liu

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

Comments all authors contributed equally

2202.05144 2022-02-11 cs.CL 57%

InPars: Data Augmentation for Information Retrieval using Large Language Models

Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee, Rodrigo Nogueira

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

2112.04426 2022-02-09 cs.CL cs.LG 57%

Improving language models by retrieving from trillions of tokens

Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre

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

Comments Fix incorrect reported numbers in Table 14

2103.12248 2021-12-15 cs.CV cs.CL 57%

Multi-Modal Answer Validation for Knowledge-Based VQA

Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi

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

Comments AAAI 2022

2109.07943 2021-12-14 cs.CL 57%

RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization

Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, Xipeng Qiu

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

2112.04666 2021-12-10 cs.IR 57%

Densifying Sparse Representations for Passage Retrieval by Representational Slicing

Sheng-Chieh Lin, Jimmy Lin

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

2109.07263 2021-12-08 cs.CL cs.LG 57%

End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs

Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam

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

Comments This is a Post-EMNLP Version that contains results on the new hidden test set. D.Raghu and S.Agarwal contributed equally to this work

2108.00719 2021-10-15 cs.CL 57%

ConveRT for FAQ Answering

Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans

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

Comments Accepted at bnaicbenelearn2021

2110.02067 2021-10-06 cs.CL 57%

Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models

Ehsan Lotfi, Maxime De Bruyn, Jeska Buhmann, Walter Daelemans

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

Comments Accepted at ConvAI workshop (EMNLP 2021)

2109.05487 2021-09-14 cs.CL 57%

Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation

Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang

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

Comments EMNLP 2021

2108.12139 2021-09-14 cs.IR 57%

Dealing with Typos for BERT-based Passage Retrieval and Ranking

Shengyao Zhuang, Guido Zuccon

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

Comments Short paper, accepted at EMNLP2021 main conference

2108.11601 2021-09-13 cs.SE cs.CL 57%

Retrieval Augmented Code Generation and Summarization

Md Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

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

Comments accepted in EMNLP-Findings 2021

2108.00644 2021-08-24 cs.IR 57%

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma

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

Comments Accepted by CIKM 2021 as a full paper

2108.03322 2021-08-10 cs.IR cs.LG cs.SE 57%

Distilling Transformers for Neural Cross-Domain Search

Colin B. Clement, Chen Wu, Dawn Drain, Neel Sundaresan

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

Comments 4 pages, 1 figure, emnlp formatting

2107.14740 2021-08-02 cs.CL 57%

Automatic Claim Review for Climate Science via Explanation Generation

Shraey Bhatia, Jey Han Lau, Timothy Baldwin

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

2107.05720 2021-07-14 cs.IR 57%

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant

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

Comments 5 pages, SIGIR'21 short paper

2105.06041 2021-06-03 cs.CL 57%

HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management

Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang

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

Comments Findings of ACL-IJCNLP 2021, long paper

2104.08710 2021-04-20 cs.CL 57%

Simple and Efficient ways to Improve REALM

Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar

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

2101.00117 2021-01-05 cs.CL 57%

Multi-task Retrieval for Knowledge-Intensive Tasks

Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oğuz, Veselin Stoyanov, Gargi Ghosh

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

2010.00840 2020-10-05 cs.CL 57%

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models

Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro

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

Comments Accepted in EMNLP 2020 main conference

2009.06857 2020-09-16 cs.CL cs.LG 57%

Current Limitations of Language Models: What You Need is Retrieval

Aran Komatsuzaki

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

1807.02189 2020-08-03 cs.RO cs.AI 57%

Functional Object-Oriented Network: Construction & Expansion

David Paulius, Ahmad Babaeian Jelodar, Yu Sun

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

Comments 7 pages, 3 figures, presented at ICRA 2018

Journal ref ICRA 2018 Submission -- 7 pages

2002.08909 2020-02-21 cs.CL cs.LG 57%

REALM: Retrieval-Augmented Language Model Pre-Training

Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang

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

1910.14613 2019-11-01 cs.LG cs.CL stat.ML 57%

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning

Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan

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

1906.00300 2019-07-01 cs.CL 57%

Latent Retrieval for Weakly Supervised Open Domain Question Answering

Kenton Lee, Ming-Wei Chang, Kristina Toutanova

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

Comments Accepted to ACL 2019

1906.07108 2019-06-18 cs.CL 57%

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin

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

Comments Accepted by ACL 2019

1906.04618 2019-06-12 cs.CL 57%

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li

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

Comments To appear at ACL 2019

1811.11160 2018-11-28 cs.IT cs.CR cs.DB math.IT 57%

The Capacity of Private Information Retrieval from Decentralized Uncoded Caching Databases

Yi-Peng Wei, Batuhan Arasli, Karim Banawan, Sennur Ulukus

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

Comments Submitted for publication, November 2018

cs/0412071 2016-11-17 cs.AI cs.NE 57%

Web Usage Mining Using Artificial Ant Colony Clustering and Genetic Programming

Ajith Abraham, Vitorino Ramos

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

Comments 8 pages, 11 figures, at http://alfa.ist.utl.pt/~cvrm/staff/vramos/ref_48.html

Journal ref CEC 03 - Congress on Evolutionary Computation, IEEE Press, ISBN 0780378040, pp.1384-1391, Canberra, Australia, 8-12 Dec. 2003

1408.0595 2014-08-05 cs.AI 57%

Correlating and Cross-linking Knowledge Threads in Informledge System for Creating New Knowledge

T. R. Gopalakrishnan Nair, Meenakshi Malhotra

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

Comments 6 pages, 6 figures, 3 tables, International Conference on Knowledge Engineering and Ontology Development, 2012

1. 检索器与排序 4602 篇

A Survey on Retrieval-Augmented Text Generation

InPars: Data Augmentation for Information Retrieval using Large Language Models

Improving language models by retrieving from trillions of tokens

Multi-Modal Answer Validation for Knowledge-Based VQA

RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization

Densifying Sparse Representations for Passage Retrieval by Representational Slicing

End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs

ConveRT for FAQ Answering

Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models

Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation

Dealing with Typos for BERT-based Passage Retrieval and Ranking

Retrieval Augmented Code Generation and Summarization

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

Distilling Transformers for Neural Cross-Domain Search

Automatic Claim Review for Climate Science via Explanation Generation

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management

Simple and Efficient ways to Improve REALM

Multi-task Retrieval for Knowledge-Intensive Tasks

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models

Current Limitations of Language Models: What You Need is Retrieval

Functional Object-Oriented Network: Construction & Expansion

REALM: Retrieval-Augmented Language Model Pre-Training

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning

Latent Retrieval for Weakly Supervised Open Domain Question Answering

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

The Capacity of Private Information Retrieval from Decentralized Uncoded Caching Databases

Web Usage Mining Using Artificial Ant Colony Clustering and Genetic Programming

Correlating and Cross-linking Knowledge Threads in Informledge System for Creating New Knowledge