RAG / 检索增强生成

DenseReviewer: A Screening Prioritisation Tool for Systematic Review based on Dense Retrieval

Xinyu Mao, Teerapong Leelanupab, Harrisen Scells, Guido Zuccon

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

Comments Accepted at ECIR 2025

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation

Rajat Keshri, Arun George Zachariah, Michael Boone

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

Options-Aware Dense Retrieval for Multiple-Choice query Answering

Manish Singh, Manish Shrivastava

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

Unsupervised Query Routing for Retrieval Augmented Generation

Feiteng Mu, Liwen Zhang, Yong Jiang, Wenjie Li, Zhen Zhang, Pengjun Xie, Fei Huang

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

Advancing Similarity Search with GenAI: A Retrieval Augmented Generation Approach

Jean Bertin

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

DRCap: Decoding CLAP Latents with Retrieval-Augmented Generation for Zero-shot Audio Captioning

Xiquan Li, Wenxi Chen, Ziyang Ma, Xuenan Xu, Yuzhe Liang, Zhisheng Zheng, Qiuqiang Kong, Xie Chen

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

Unsupervised dense retrieval with conterfactual contrastive learning

Haitian Chen, Qingyao Ai, Xiao Wang, Yiqun Liu, Fen Lin, Qin Liu

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

Comments arXiv admin note: text overlap with arXiv:2107.07773 by other authors

Formal Language Knowledge Corpus for Retrieval Augmented Generation

Majd Zayyad, Yossi Adi

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

Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design

Nathaniel H. Park, Tiffany J. Callahan, James L. Hedrick, Tim Erdmann, Sara Capponi

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

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval

Suyuan Huang, Chao Zhang, Yuanyuan Wu, Haoxin Zhang, Yuan Wang, Maolin Wang, Shaosheng Cao, Tong Xu, Xiangyu Zhao, Zengchang Qin, Yan Gao, Yunhan Bai, Jun Fan, Yao Hu, Enhong Chen

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

A Gradient Accumulation Method for Dense Retriever under Memory Constraint

Jaehee Kim, Yukyung Lee, Pilsung Kang

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

Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation

Suhang Wu, Jialong Tang, Baosong Yang, Ante Wang, Kaidi Jia, Jiawei Yu, Junfeng Yao, Jinsong Su

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

Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts

Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim

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

Comments EMNLP 2024 Findings

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation

Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang

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

Comments EMNLP 2024

Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls

Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen

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

Corpus-informed Retrieval Augmented Generation of Clarifying Questions

Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas

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

Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval

Qiuhai Zeng, Zimeng Qiu, Dae Yon Hwang, Xin He, William M. Campbell

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

Comments Accepted at DCAI24 workshop@CIKM2024

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu

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

Comments Submitted to EMNLP24

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone

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

Comments Accepted by ECCV 2024, Oral

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation

Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai

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

Meta-prompting Optimized Retrieval-augmented Generation

João Rodrigues, António Branco

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

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models

Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang

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

Comments need to further experiment

Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation

Yige Shen, Hao Jiang, Hua Qu, Jihong Zhao

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

Comments 12 pages, 8 figures

MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin

Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu

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

Adam: Dense Retrieval Distillation with Adaptive Dark Examples

Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

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

Comments 13 pages, 3 figures

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen

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

Leveraging LLMs for Unsupervised Dense Retriever Ranking

Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon

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

Comments SIGIR2024 full paper

Graded Relevance Scoring of Written Essays with Dense Retrieval

Salam Albatarni, Sohaila Eltanbouly, Tamer Elsayed

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

Comments Accepted at SIGIR 2024

Efficient Multi-Vector Dense Retrieval Using Bit Vectors

Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

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

Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models

Stephan Linzbach, Dimitar Dimitrov, Laura Kallmeyer, Kilian Evang, Hajira Jabeen, Stefan Dietze

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

Comments Accepted for NAACL 2024