RAG / 检索增强生成

Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models

Yifu Qiu, Varun Embar, Yizhe Zhang, Navdeep Jaitly, Shay B. Cohen, Benjamin Han

机构 * University of Edinburgh（爱丁堡大学） ； Apple（苹果公司） 纠错

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

Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models

Bruno Coelho, Shujaat Mirza, Yuyuan Cui, Christina Pöpper, Damon McCoy

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

TeroSeek: An AI-Powered Knowledge Base and Retrieval Generation Platform for Terpenoid Research

Xu Kang, Siqi Jiang, Kangwei Xu, Jiahao Li, Ruibo Wu

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

Comments 18 pages, 4 figures

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Yanshuo Chen, Heng Huang

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

Comments The first two authors contributed equally to this work. 25 pages

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning

Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu, Jiahao Zhao, Yingqian Min, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen

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

AI Approaches to Qualitative and Quantitative News Analytics on NATO Unity

Bohdan M. Pavlyshenko

机构 * Ivan Franko National University of Lviv（弗拉基米尔·伊万诺维奇·帕夫利申科国立大学） 纠错

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

An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education

Ramteja Sajja, Yusuf Sermet, Ibrahim Demir

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

Comments 17 pages, 3 Tables

ReasonIR: Training Retrievers for Reasoning Tasks

Rulin Shao, Rui Qiao, Varsha Kishore, Niklas Muennighoff, Xi Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Wen-tau Yih, Pang Wei Koh, Luke Zettlemoyer

机构 * FAIR at Meta（Meta的FAIR） ； University of Washington（华盛顿大学） ； National University of Singapore（新加坡国立大学） ； Singapore-MIT Alliance for Research（新加坡-麻省理工联合研究联盟） ； Allen Institute for Artificial Intelligence（人工智能研究所） ； Stanford University（斯坦福大学） ； Massachusetts Institute of Technology（麻省理工学院） ； University of California, Berkeley（加州大学伯克利分校） 纠错

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

Comments Our code is released at \url{https://github.com/facebookresearch/ReasonIR}

Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities

Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong

机构 * Hongkong University of Science and Technology（香港科技大学） ； Tsinghua University（清华大学） ； The Hong Kong Polytechnic University（香港理工大学） 纠错

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

Comments 8 pages

Lab-AI: Using Retrieval Augmentation to Enhance Language Models for Personalized Lab Test Interpretation in Clinical Medicine

Xiaoyu Wang, Haoyong Ouyang, Balu Bhasuran, Xiao Luo, Karim Hanna, Mia Liza A. Lustria, Carl Yang, Zhe He

机构 * Department of Statistics（统计学系） ； Florida State University（佛罗里达州立大学） ； School of Information（信息学院） ； Oklahoma State University（俄克拉荷马州立大学） ； Morsani College of Medicine（医学学院） ； University of South Florida（佛罗里达大学） ； College of Social Work（社会工作学院） ； Department of Computer Science（计算机科学系） ； Emory University（埃默里大学） 纠错

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

LitLLM: A Toolkit for Scientific Literature Review

Shubham Agarwal, Gaurav Sahu, Abhay Puri, Issam H. Laradji, Krishnamurthy DJ Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal

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

Enhancing Retrieval Processes for Language Generation with Augmented Queries

Julien Pierre Edmond Ghali, Kosuke Shima, Koichi Moriyama, Atsuko Mutoh, Nobuhiro Inuzuka

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

Comments 28 pages, 10 annexes, 2 figures

Journal ref Procedia Computer Science, Volume 231, 2024, Pages 1234-1245

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search

Jayant Sachdev, Sean D Rosario, Abhijeet Phatak, He Wen, Swati Kirti, Chittaranjan Tripathy

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

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting

Huanyu Zhang, Chang Xu, Yi-Fan Zhang, Zhang Zhang, Liang Wang, Jiang Bian, Tieniu Tan

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；retriever(abstract)

Enhancing Retrieval Performance: An Ensemble Approach For Hard Negative Mining

Hansa Meghwani

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

Comments Master's thesis

GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning

Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev

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

Comments EMNLP 2024

Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process

Bohdan M. Pavlyshenko

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

Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model

Jiahao Wang, Amer Shalaby

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

Comments 17 pages, 21 figures

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models

Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Sricharan Kumar

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

Comments EMNLP 2024 main conference long paper

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues

Shilin Qu, Weiqing Wang, Xin Zhou, Haolan Zhan, Zhuang Li, Lizhen Qu, Linhao Luo, Yuan-Fang Li, Gholamreza Haffari

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

Comments 17 pages

Journal ref TOMM 2024

Dense X Retrieval: What Retrieval Granularity Should We Use?

Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu

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

VERA: Validation and Enhancement for Retrieval Augmented systems

Nitin Aravind Birur, Tanay Baswa, Divyanshu Kumar, Jatan Loya, Sahil Agarwal, Prashanth Harshangi

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

NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval

Sepanta Zeighami, Zac Wellmer, Aditya Parameswaran

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

HIRO: Hierarchical Information Retrieval Optimization

Krish Goel, Mahek Chandak

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

LLM Agents Improve Semantic Code Search

Sarthak Jain, Aditya Dora, Ka Seng Sam, Prabhat Singh

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

Comments 12 pages, 1 Figure

Answering real-world clinical questions using large language model based systems

Yen Sia Low, Michael L. Jackson, Rebecca J. Hyde, Robert E. Brown, Neil M. Sanghavi, Julian D. Baldwin, C. William Pike, Jananee Muralidharan, Gavin Hui, Natasha Alexander, Hadeel Hassan, Rahul V. Nene, Morgan Pike, Courtney J. Pokrzywa, Shivam Vedak, Adam Paul Yan, Dong-han Yao, Amy R. Zipursky, Christina Dinh, Philip Ballentine, Dan C. Derieg, Vladimir Polony, Rehan N. Chawdry, Jordan Davies, Brigham B. Hyde, Nigam H. Shah, Saurabh Gombar

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

Comments 28 pages (2 figures, 3 tables) inclusive of 8 pages of supplemental materials (4 supplemental figures and 4 supplemental tables)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling

Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang

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

Comments ACL 2024

Journal ref ACL 2024

Towards a Robust Retrieval-Based Summarization System

Shengjie Liu, Jing Wu, Jingyuan Bao, Wenyi Wang, Naira Hovakimyan, Christopher G Healey

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

Grounding Language Model with Chunking-Free In-Context Retrieval

Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou

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

Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models

Mercy Ranjit, Gopinath Ganapathy, Ranjit Manuel, Tanuja Ganu

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