RAG / 检索增强生成

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

Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering

Piotr Rybak, Maciej Ogrodniczuk

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

Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation

Zizhong Li, Haopeng Zhang, Jiawei Zhang

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

Comments 10 pages, 8 figures

Generative Dense Retrieval: Memory Can Be a Burden

Peiwen Yuan, Xinglin Wang, Shaoxiong Feng, Boyuan Pan, Yiwei Li, Heda Wang, Xupeng Miao, Kan Li

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

Comments EACL 2024 main

Journal ref EACL 2024 main

Generative Multi-Modal Knowledge Retrieval with Large Language Models

Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou

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

Comments Accepted to AAAI 2024

Concurrent Brainstorming & Hypothesis Satisfying: An Iterative Framework for Enhanced Retrieval-Augmented Generation (R2CBR3H-SR)

Arash Shahmansoori

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

Comments 3 pages, 1 table, double column IEEE journal format paper

DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework

Keonwoo Kim, Younggun Lee

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

Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval

Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn

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

Comments Accepted by EMNLP 2023 Findings

Selecting which Dense Retriever to use for Zero-Shot Search

Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon

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

CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation

Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu, Chen-An Li, 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 SIGDIAL 2023

Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track

Guangwei Xu, Yangzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo

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

Comments TREC 2022 Deep Learning Track

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method

Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng

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

Comments Accept by CIKM2023, 10 pages

Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval

Haoxiang Shi, Sumio Fujita, Tetsuya Sakai

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

Large Language Models are Strong Zero-Shot Retriever

Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang

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

Comments Work in progress

Dense Retrieval Adaptation using Target Domain Description

Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur, Srivas Prasad, Edgar Meij, W. Bruce Croft

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

PROD: Progressive Distillation for Dense Retrieval

Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan

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

Comments Accepted by WWW2023

Typo-Robust Representation Learning for Dense Retrieval

Panuthep Tasawong, Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong

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

Comments 5 pages, 2 figures