RAG / 检索增强生成

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models

Alexander R. Pelletier, Joseph Ramirez, Irsyad Adam, Simha Sankar, Yu Yan, Ding Wang, Dylan Steinecke, Wei Wang, Peipei Ping

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

CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation

Rui Yang

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

Comments Submitted to ICCBR

RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations

Jiarui Rao, Jionghao Lin

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

Comments 7 pages, this paper underwent a rigorous review process and was officially accepted on May 31, 2024, for presentation at the Educational Data Mining 2024 Workshop: Leveraging Large Language Models for Next Generation Educational Technologies

Retrieval-augmented generation in multilingual settings

Nadezhda Chirkova, David Rau, Hervé Déjean, Thibault Formal, Stéphane Clinchant, Vassilina Nikoulina

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

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation

David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Vassilina Nikoulina, Stéphane Clinchant

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

Comments 29 pages

From RAG to RICHES: Retrieval Interlaced with Sequence Generation

Palak Jain, Livio Baldini Soares, Tom Kwiatkowski

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

Comments 18 pages, 3 figures, Preprint

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

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

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems

Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri

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

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation

Jinyuan Fang, Zaiqiao Meng, Craig Macdonald

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

Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability

Gautam B, Anupam Purwar

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

GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Costas Mavromatis, George Karypis

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

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou

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

Comments 12 pages

History-Aware Conversational Dense Retrieval

Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie

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

Comments Accepted to Findings of ACL 2024

Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning

Xun Liang, Simin Niu, Zhiyu li, Sensen Zhang, Shichao Song, Hanyu Wang, Jiawei Yang, Feiyu Xiong, Bo Tang, Chenyang Xi

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

Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures

Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi

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

Evaluating Retrieval Quality in Retrieval-Augmented Generation

Alireza Salemi, Hamed Zamani

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

ARAGOG: Advanced RAG Output Grading

Matouš Eibich, Shivay Nagpal, Alexander Fred-Ojala

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

Comments 14 pages, 8 figures, associated Github repo: https://github.com/predlico/ARAGOG

Observations on Building RAG Systems for Technical Documents

Sumit Soman, Sujoy Roychowdhury

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

Comments Published as a Tiny Paper at ICLR 2024

Retrieval-Augmented Generation for Large Language Models: A Survey

Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Meng Wang, Haofen Wang

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

Comments Ongoing Work

Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users

Jennifer Dodgson, Lin Nanzheng, Julian Peh, Akira Rafhael Janson Pattirane, Alfath Daryl Alhajir, Eko Ridho Dinarto, Joseph Lim, Syed Danyal Ahmad

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

Comments 10 pages, LaTeX; typos corrected, using the correct term 'system prompting' instead of 'soft prompting'

Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling

Chao-Wei Huang, Chen-An Li, Tsu-Yuan Hsu, Chen-Yu Hsu, Yun-Nung Chen

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

Comments Accepted to Findings of EACL 2024

Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge

Julien Delile, Srayanta Mukherjee, Anton Van Pamel, Leonid Zhukov

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

Comments 11 pages, 4 figures

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation

Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon

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

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search

Qiao Jin, Ashley Shin, Zhiyong Lu

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

Comments SIGIR 2023

Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

YuHe 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, 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 NA

Reinforcement Learning for Optimizing RAG for Domain Chatbots

Mandar Kulkarni, Praveen Tangarajan, Kyung Kim, Anusua Trivedi

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

Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation

Walid Saba, Suzanne Wendelken, James. Shanahan

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

Context Tuning for Retrieval Augmented Generation

Raviteja Anantha, Tharun Bethi, Danil Vodianik, Srinivas Chappidi

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

Comments preprint version

Building Interpretable and Reliable Open Information Retriever for New Domains Overnight

Xiaodong Yu, Ben Zhou, Dan Roth

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

Comments Submission of ACL 2023. Rejected

Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education

S. S. Manathunga, Y. A. Illangasekara

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, 5 figures