RAG / 检索增强生成

MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation

Zijie J. Wang, Duen Horng Chau

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

Comments Accepted to SIGIR 2024. 6 pages, 2 figures. For a live demo, visit https://poloclub.github.io/mememo/. Code is open-source at https://github.com/poloclub/mememo

Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models

Scott Barnett, Zac Brannelly, Stefanus Kurniawan, Sheng Wong

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

Comments 8 pages, 4 figures

Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization

Tobias Schnabel, Jennifer Neville

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

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Junda Wang, Zhichao Yang, Zonghai Yao, Hong Yu

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

Poisoned LangChain: Jailbreak LLMs by LangChain

Ziqiu Wang, Jun Liu, Shengkai Zhang, Yang Yang

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

Comments 6 pages,2 figures,This paper is a submission to ACM TURC. It has been accepted by the editor of the organizer

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

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

Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding

Weizhi Fei, Xueyan Niu, Guoqing Xie, Yanhua Zhang, Bo Bai, Lei Deng, Wei Han

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

Leveraging Large Language Models for Web Scraping

Aman Ahluwalia, Suhrud Wani

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

RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots

Philip Feldman, James R. Foulds, Shimei Pan

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

Comments 7 Pages, 1 Figure, 1 Table

RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback

Yanming Liu, Xinyue Peng, Xuhong Zhang, Weihao Liu, Jianwei Yin, Jiannan Cao, Tianyu Du

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

Comments 20 pages, multiple figures. Providing second version RA-ISF

Control Token with Dense Passage Retrieval

Juhwan Lee, Jisu Kim

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

Automated Conversion of Static to Dynamic Scheduler via Natural Language

Paul Mingzheng Tang, Kenji Kah Hoe Leong, Nowshad Shaik, Hoong Chuin Lau

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

Comments 7 pages (excluding appendix), 10 figures, 3 tables

Self-Improving Customer Review Response Generation Based on LLMs

Guy Azov, Tatiana Pelc, Adi Fledel Alon, Gila Kamhi

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

Comments 18 pages, 4 figure, 8 figures in Appendix, accepted to LREC-COLING 2024 workshop

Comparative Analysis of Retrieval Systems in the Real World

Dmytro Mozolevskyi, Waseem AlShikh

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

Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models

Alireza Salemi, Hamed Zamani

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

LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding

Mingrui Wu, Sheng Cao

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

CONFLARE: CONFormal LArge language model REtrieval

Pouria Rouzrokh, Shahriar Faghani, Cooper U. Gamble, Moein Shariatnia, Bradley J. Erickson

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

Comments Github code: https://github.com/Mayo-Radiology-Informatics-Lab/conflare

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs

Shu Yang, Jiayuan Su, Han Jiang, Mengdi Li, Keyuan Cheng, Muhammad Asif Ali, Lijie Hu, Di Wang

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

ConvSDG: Session Data Generation for Conversational Search

Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie

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

Comments Accepted by WWW 2024 Workshop

Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning

Mingtian Zhang, Shawn Lan, Peter Hayes, David Barber

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

Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties

Jasmine Chiat Ling Ong, Liyuan Jin, Kabilan Elangovan, Gilbert Yong San Lim, Daniel Yan Zheng Lim, Gerald Gui Ren Sng, Yuhe Ke, Joshua Yi Min Tung, Ryan Jian Zhong, Christopher Ming Yao Koh, Keane Zhi Hao Lee, Xiang Chen, Jack Kian Chng, Aung Than, Ken Junyang Goh, Daniel Shu Wei Ting

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

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha

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

A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture

Cheonsu Jeong

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

AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs

Yann Hicke, Anmol Agarwal, Qianou Ma, Paul Denny

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

Comments Updates for camera-ready submission

Journal ref NeurIPS Workshop on Generative AI for Education (GAIED), 2023

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, Sam Cox, Samuel G. Rodriques, Andrew D. White

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

Chatmap : Large Language Model Interaction with Cartographic Data

Eren Unlu

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

Comments 9 pages, 4 figures

Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks

Antoine Louis, Gijs van Dijck, Gerasimos Spanakis

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

Comments EACL 2023. Code is available at https://github.com/maastrichtlawtech/gdsr

You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona

Jungwoo Lim, Myunghoon Kang, Yuna Hur, Seungwon Jung, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, Donghoon Shin, Seungryong Kim, Heuiseok Lim

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

Comments Accepted at Findings of EMNLP 2022

Bridging the Training-Inference Gap for Dense Phrase Retrieval

Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang

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

Comments Findings of EMNLP 2022; 12 pages, 3 figures

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach

Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang

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

Comments EMNLP 2022 (main)