RAG / 检索增强生成 - arXivDaily 专题

2410.00387 2024-10-02 cs.CL cs.AI 84%

Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation

Bhargav Shandilya, Alexis Palmer

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

Comments 13 pages, 1 figure, 5 tables, submitted to COLING 2025

2409.19401 2024-10-01 cs.CL cs.IR 84%

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs

Zheng Wang, Zhongyang Li, Zeren Jiang, Dandan Tu, Wei Shi

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

Comments This paper has been accepted by EMNLP 2024

2407.21439 2024-09-26 cs.AI cs.CL cs.LG 84%

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Zhanpeng Chen, Chengjin Xu, Yiyan Qi, Jian Guo

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

2409.15260 2024-09-24 cs.AI cs.IR 84%

Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation

Yi-Fei Zhao, Allyn Bove, David Thompson, James Hill, Yi Xu, Yufan Ren, Andrea Hassman, Leming Zhou, Yanshan Wang

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

2409.15076 2024-09-24 cs.CL cs.AI q-bio.OT 84%

Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from Publications

Sean Kim, Raja Mazumder

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

Comments 21 pages, 8 figures

2403.10081 2024-09-24 cs.CL cs.IR 84%

DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Weihang Su, Yichen Tang, Qingyao Ai, Zhijing Wu, Yiqun Liu

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

2409.12880 2024-09-20 cs.CL cs.AI cs.LG 84%

Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models

Bryan Zhang, Taichi Nakatani, Stephan Walter

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

Comments 6 Pages,In Proceedings of ACM CIKM Workshop on Data-Centric AI (CIKM DCAI 2024)

2406.14891 2024-09-17 cs.CL cs.IR 84%

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Zhengliang Shi, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren

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

Comments ACL 2024 (main conference)

2405.06681 2024-09-16 cs.CL cs.AI cs.CY 84%

Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation

Sven Jacobs, Steffen Jaschke

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

Comments accepted at CSEE&T 2024: 36th International Conference on Software Engineering Education and Training, Würzburg, Germany

2406.15319 2024-09-04 cs.CL cs.AI 84%

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Ziyan Jiang, Xueguang Ma, Wenhu Chen

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

Comments Technical Report

2405.01310 2024-08-31 cs.IR cs.CL 84%

Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation

Selva Kumar S, Afifah Khan Mohammed Ajmal Khan, Imadh Ajaz Banday, Manikantha Gada, Vibha Venkatesh Shanbhag

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

Comments 6 pages, 3 figures

2408.14484 2024-08-28 cs.AI cs.CL cs.LG 84%

Agentic Retrieval-Augmented Generation for Time Series Analysis

Chidaksh Ravuru, Sagar Srinivas Sakhinana, Venkataramana Runkana

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

Comments Paper was accepted for Undergraduate Consortium at ACM KDD, 2024. Please find the link: https://kdd2024.kdd.org/undergraduate-consortium/

2408.08067 2024-08-20 cs.CL cs.AI 84%

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation

Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang

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

Comments Under Review. Github Repo: https://github.com/amazon-science/RAGChecker

2408.07425 2024-08-15 cs.CL cs.AI 84%

Exploring Retrieval Augmented Generation in Arabic

Samhaa R. El-Beltagy, Mohamed A. Abdallah

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

2404.07221 2024-08-02 cs.IR cs.CL cs.LG q-fin.GN 84%

Improving Retrieval for RAG based Question Answering Models on Financial Documents

Spurthi Setty, Harsh Thakkar, Alyssa Lee, Eden Chung, Natan Vidra

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

2407.21712 2024-08-01 cs.CL cs.IR 84%

Adaptive Retrieval-Augmented Generation for Conversational Systems

Xi Wang, Procheta Sen, Ruizhe Li, Emine Yilmaz

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

Comments 12 pages, under review

2407.16896 2024-07-25 cs.CY cs.AI cs.CL cs.LG 84%

Free to play: UN Trade and Development's experience with developing its own open-source Retrieval Augmented Generation Large Language Model application

Daniel Hopp

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

2407.15748 2024-07-23 cs.CR cs.AI cs.IR 84%

MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation

Marco Simoni, Andrea Saracino, Vinod P., Mauro Conti

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

2404.06910 2024-07-22 cs.CL cs.AI cs.LG 84%

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi

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

2407.13757 2024-07-19 cs.CL cs.AI cs.CR 84%

Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Zhuo Chen, Jiawei Liu, Haotan Liu, Qikai Cheng, Fan Zhang, Wei Lu, Xiaozhong Liu

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

Comments 10 pages, 3 figures, under review

2407.12888 2024-07-19 cs.CL cs.AI 84%

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models

Alexander R. Pelletier, Joseph Ramirez, Irsyad Adam, Simha Sankar, Yu Yan, Ding Wang, Dylan Steinecke, Wei Wang, Peipei Ping

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

2407.07913 2024-07-12 cs.IR cs.AI 84%

CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation

Rui Yang

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

Comments Submitted to ICCBR

2407.04925 2024-07-09 cs.IR cs.AI cs.HC 84%

RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations

Jiarui Rao, Jionghao Lin

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

Comments 7 pages, this paper underwent a rigorous review process and was officially accepted on May 31, 2024, for presentation at the Educational Data Mining 2024 Workshop: Leveraging Large Language Models for Next Generation Educational Technologies

2407.01463 2024-07-02 cs.CL cs.AI 84%

Retrieval-augmented generation in multilingual settings

Nadezhda Chirkova, David Rau, Hervé Déjean, Thibault Formal, Stéphane Clinchant, Vassilina Nikoulina

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

2407.01102 2024-07-02 cs.CL cs.IR 84%

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation

David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Vassilina Nikoulina, Stéphane Clinchant

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

Comments 29 pages

2407.00361 2024-07-02 cs.CL cs.AI 84%

From RAG to RICHES: Retrieval Interlaced with Sequence Generation

Palak Jain, Livio Baldini Soares, Tom Kwiatkowski

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

Comments 18 pages, 3 figures, Preprint

2406.19251 2024-06-28 cs.CL cs.AI 84%

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

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

2406.14972 2024-06-24 cs.CL cs.IR 84%

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems

Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri

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

2406.11460 2024-06-18 cs.CL cs.AI 84%

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation

Jinyuan Fang, Zaiqiao Meng, Craig Macdonald

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

2406.11424 2024-06-18 cs.IR cs.CL 84%

Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability

Gautam B, Anupam Purwar

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

1. 检索器与排序 4586 篇

Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation

Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from Publications

DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation

Agentic Retrieval-Augmented Generation for Time Series Analysis

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation

Exploring Retrieval Augmented Generation in Arabic

Improving Retrieval for RAG based Question Answering Models on Financial Documents

Adaptive Retrieval-Augmented Generation for Conversational Systems

Free to play: UN Trade and Development's experience with developing its own open-source Retrieval Augmented Generation Large Language Model application

MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models

CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation

RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations

Retrieval-augmented generation in multilingual settings

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation

From RAG to RICHES: Retrieval Interlaced with Sequence Generation

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation

Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability