RAG / 检索增强生成

Had enough of experts? Quantitative knowledge retrieval from large language models

David Selby, Kai Spriestersbach, Yuichiro Iwashita, Mohammad Saad, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Koichi Kise, Sebastian Vollmer

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

Journal ref Stat, 14: e70054 (2025)

DeepRAG: Building a Custom Hindi Embedding Model for Retrieval Augmented Generation from Scratch

Nandakishor M

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

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models

Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang

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

Comments ACL 2024 (findings)

Hierarchical Re-ranker Retriever (HRR)

Ashish Singh, Priti Mohapatra

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

Comments 14 pages

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning

Zaifu Zhan, Jun Wang, Shuang Zhou, Jiawen Deng, Rui Zhang

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

Comments Submitted to JAMIA

TrustRAG: An Information Assistant with Retrieval Augmented Generation

Yixing Fan, Qiang Yan, Wenshan Wang, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng

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

REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives

Sayantan Adak, Pauras Mangesh Meher, Paramita Das, Animesh Mukherjee

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

Comments Accepted at COLING2025 Industry Track

Journal ref https://aclanthology.org/2025.coling-industry.61/

Syntriever: How to Train Your Retriever with Synthetic Data from LLMs

Minsang Kim, Seungjun Baek

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

Comments the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), Findings, Accepted

Investigating Mixture of Experts in Dense Retrieval

Effrosyni Sokli, Pranav Kasela, Georgios Peikos, Gabriella Pasi

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

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models

Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian McAuley, Lina Yao

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

Unifying Generative and Dense Retrieval for Sequential Recommendation

Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D Nowak, Xiaoli Gao, Hamid Eghbalzadeh

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

TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets

David Dukić, Marin Petričević, Sven Ćurković, Jan Šnajder

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

$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity

Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl

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

Comments EMNLP 2024 Main Conference

AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation

Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou

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

Comments DCAI24, October 25, 2024, Boise, ID

Deep Learning Based Dense Retrieval: A Comparative Study

Ming Zhong, Zhizhi Wu, Nanako Honda

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

Comments 7 pages

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruhle

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

Comments Accepted at EMNLP 2024 Industry Track

Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback

Menna Fateen, Bo Wang, Tsunenori Mine

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

PairDistill: Pairwise Relevance Distillation for Dense Retrieval

Chao-Wei Huang, Yun-Nung Chen

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

Comments Accepted to EMNLP 2024 Main Conference

AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support

Adil Bahaj, Mounir Ghogho

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

Comments 10 pages

R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education

Phuc-Tinh Pham Do, Duy-Ngoc Dinh Cao, Khanh Quoc Tran, Kiet Van Nguyen

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

A New Pipeline For Generating Instruction Dataset via RAG and Self Fine-Tuning

Chih-Wei Song, Yu-Kai Lee, Yin-Te Tsai

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

Comments 5 pages, SCA 2024: The 7th IEEE International Workshop on Smart Computing & Applications

Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems

Shengyao Zhuang, Bevan Koopman, Xiaoran Chu, Guido Zuccon

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

Scaling Laws For Dense Retrieval

Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu

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

Comments Accepted at SIGIR 2024. V2 fixes a bug in the experiments

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever

Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen

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

Comments 13 pages, 6 figures

RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts

Jing Yang, Xiao Wang, Yu Zhao, Yuhang Liu, Fei-Yue Wang

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

Comments 13 pages, 9 figures

RAFT: Adapting Language Model to Domain Specific RAG

Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez

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

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation

Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao

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

Comments ACL 2024

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval

Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou

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

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

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

Comments NAACL 2024

Loops On Retrieval Augmented Generation (LoRAG)

Ayush Thakur, Rashmi Vashisth

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