RAG / 检索增强生成 - arXivDaily 专题

2402.16261 2024-02-29 cs.CL cs.IR 62%

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval

Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong

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

2402.15059 2024-02-26 cs.CL cs.IR 62%

ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval

Antoine Louis, Vageesh Saxena, Gijs van Dijck, Gerasimos Spanakis

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

Comments Under review. Code is available at https://github.com/ant-louis/xm-retrievers

2402.12663 2024-02-21 cs.CL cs.IR cs.LG 62%

SoftQE: Learned Representations of Queries Expanded by LLMs

Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta

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

Comments To be published in ECIR 2024 proceedings

2402.11626 2024-02-20 cs.CL cs.IR 62%

Metacognitive Retrieval-Augmented Large Language Models

Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou

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

Comments Accepted by WWW 2024

2402.09320 2024-02-15 cs.CL cs.AI 62%

ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Feifan Song, Yuxuan Fan, Xin Zhang, Peiyi Wang, Houfeng Wang

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

2402.04268 2024-02-08 cond-mat.soft cs.AI cs.CL q-bio.BM 62%

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning

A. Ghafarollahi, M. J. Buehler

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

2402.02175 2024-02-06 cs.CL cs.IR 62%

Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval

Wentao Ding, Jinmao Li, Liangchuan Luo, Yuzhong Qu

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

Comments Accepted to TheWebConf'24 (WWW 2024). This is a preprint version; the CR version will include more details. Github: https://github.com/nju-websoft/EPR-KGQA

2401.17645 2024-02-01 cs.IR cs.AI 62%

ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search

Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

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

2309.07900 2024-01-31 cs.CL cs.IR 62%

Ambiguity-Aware In-Context Learning with Large Language Models

Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky

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

Comments 15 pages in total

2307.07164 2024-01-29 cs.CL cs.IR 62%

Learning to Retrieve In-Context Examples for Large Language Models

Liang Wang, Nan Yang, Furu Wei

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

Comments Accepted by EACL 2024

2401.14021 2024-01-26 cs.LG cs.CL cs.IR 62%

Accelerating Retrieval-Augmented Language Model Serving with Speculation

Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia

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

Comments Preprint

2309.15427 2024-01-01 cs.CL cs.AI cs.LG 62%

Graph Neural Prompting with Large Language Models

Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu

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

Comments Accepted by AAAI 2024

2305.02437 2023-12-27 cs.CL cs.AI 62%

Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan

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

Comments Neurips 2023

2312.12681 2023-12-21 cs.CL cs.AI 62%

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian, Hyeonsu Kang, Joel Chan, Aniket Kittur, Dafna Shahaf

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

Comments To be published in the AAAI 2024 Proceedings Main Track

2312.11336 2023-12-19 cs.IR cs.AI 62%

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation

Yu Wang, Zhiwei Liu, Jianguo Zhang, Weiran Yao, Shelby Heinecke, Philip S. Yu

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

2312.00372 2023-12-05 cs.IR cs.CL 62%

Event-driven Real-time Retrieval in Web Search

Nan Yang, Shusen Zhang, Yannan Zhang, Xiaoling Bai, Hualong Deng, Tianhua Zhou, Jin Ma

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

2311.09765 2023-11-17 cs.IR cs.AI 62%

Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

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

2310.11670 2023-11-14 cs.CL cs.AI 62%

Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning

Hao Zhao, Jie Fu, Zhaofeng He

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

Comments Accepted by EMNLP 2023

2311.05472 2023-11-10 cs.CL cs.AI 62%

Text Representation Distillation via Information Bottleneck Principle

Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie

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

Comments Accepted to EMNLP 2023. The code and pre-trained models are available at [this https URL](https://github.com/Alibaba-NLP/IBKD)

2311.05018 2023-11-10 cs.IR cs.AI 62%

Towards Effective Paraphrasing for Information Disguise

Anmol Agarwal, Shrey Gupta, Vamshi Bonagiri, Manas Gaur, Joseph Reagle, Ponnurangam Kumaraguru

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

Comments Accepted at ECIR 2023

Journal ref 45th European Conference on Information Retrieval, ECIR 2023

2311.01666 2023-11-06 cs.IR cs.CL 62%

Plot Retrieval as an Assessment of Abstract Semantic Association

Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou

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

2311.01580 2023-11-06 cs.CL cs.AI 62%

MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition

Guangyue Xu, Parisa Kordjamshidi, Joyce Chai

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

Journal ref EMNLP-Finding(2023)

2310.19156 2023-10-31 cs.CL cs.IR 62%

Poisoning Retrieval Corpora by Injecting Adversarial Passages

Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen

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

Comments EMNLP 2023. Our code is available at https://github.com/princeton-nlp/corpus-poisoning

2310.18956 2023-10-31 cs.CL cs.AI cs.LG 62%

End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems

Benjamin Towle, Ke Zhou

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

Comments FINDINGS-EMNLP 2023

2305.14499 2023-10-24 cs.CL cs.IR 62%

NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders

Livio Baldini Soares, Daniel Gillick, Jeremy R. Cole, Tom Kwiatkowski

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

Comments To appear at EMNLP 2023

2112.08766 2023-10-24 cs.IR cs.AI 62%

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking

George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff

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

Comments EMNLP 2022

2310.13243 2023-10-23 cs.IR cs.CL 62%

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon

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

Comments 5 pages

2303.12570 2023-10-23 cs.CL cs.AI cs.PL cs.SE 62%

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen

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

Comments accepted by EMNLP 2023 main conference

2303.00807 2023-10-16 cs.IR cs.CL 62%

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers

Jon Saad-Falcon, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md Arafat Sultan, Christopher Potts

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

Comments Long Paper at Empirical Methods in Natural Language Processing (EMNLP) 2023

2303.07678 2023-10-12 cs.IR cs.CL 62%

Query2doc: Query Expansion with Large Language Models

Liang Wang, Nan Yang, Furu Wei

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

Comments Accepted to EMNLP 2023

1. 检索器与排序 4586 篇

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval

ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval

SoftQE: Learned Representations of Queries Expanded by LLMs

Metacognitive Retrieval-Augmented Large Language Models

ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning

Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval

ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search

Ambiguity-Aware In-Context Learning with Large Language Models

Learning to Retrieve In-Context Examples for Large Language Models

Accelerating Retrieval-Augmented Language Model Serving with Speculation

Graph Neural Prompting with Large Language Models

Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Imitation of Life: A Search Engine for Biologically Inspired Design

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation

Event-driven Real-time Retrieval in Web Search

Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders

Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning

Text Representation Distillation via Information Bottleneck Principle

Towards Effective Paraphrasing for Information Disguise

Plot Retrieval as an Assessment of Abstract Semantic Association

MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition

Poisoning Retrieval Corpora by Injecting Adversarial Passages

End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems

NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers

Query2doc: Query Expansion with Large Language Models