RAG / 检索增强生成

Leveraging Retrieval-Augmented Generation for Culturally Inclusive Hakka Chatbots: Design Insights and User Perceptions

Chen-Chi Chang, Han-Pi Chang, Hung-Shin Lee

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 to IEEE RASSE 2024

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

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 to EMNLP 2024 industry track

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations

Zhangchi Feng, Dongdong Kuang, Zhongyuan Wang, Zhijie Nie, Yaowei Zheng, Richong 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 10 pages, 2 figures

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness

Yu He Ke, Liyuan Jin, Kabilan Elangovan, Hairil Rizal Abdullah, Nan Liu, Alex Tiong Heng Sia, Chai Rick Soh, Joshua Yi Min Tung, Jasmine Chiat Ling Ong, Chang-Fu Kuo, Shao-Chun Wu, Vesela P. Kovacheva, Daniel Shu Wei Ting

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

Comments arXiv admin note: substantial text overlap with arXiv:2402.01733

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong 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 Accepted to PSB 2025

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users

Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li

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

LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, Janosh Riebesell

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

Comments 32 pages, 5 figures

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation

Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling

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 to EMNLP 2024 Findings. 9 pages, 4 figures, 7 tables

PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead

Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu, Yongbo Wang, Feng Wang, Jingtong Wu, Xin Lu, Rui Yan

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

Comments preprint

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Zhenting Qi, Hanlin Zhang, Eric Xing, Sham Kakade, Himabindu Lakkaraju

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

How Much Can RAG Help the Reasoning of LLM?

Jingyu Liu, Jiaen Lin, Yong Liu

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

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Shayekh Bin Islam, Md Asib Rahman, K S M Tozammel Hossain, Enamul Hoque, Shafiq Joty, Md Rizwan Parvez

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

Comments Accepted to EMNLP 2024 Findings. Website: https://openragmoe.github.io/. 14 pages, 7 figures, 5 tables

Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A Survey

Sourav Verma

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

Comments Ongoing Work

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

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

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

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

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

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

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)

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)

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

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

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

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/

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

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

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

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

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