RAG / 检索增强生成

Adaptive Contextual Caching for Mobile Edge Large Language Model Service

Guangyuan Liu, Yinqiu Liu, Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 8 pages, 5 figures

Physical AI Agents: Integrating Cognitive Intelligence with Real-World Action

Fouad Bousetouane

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments 27 pages, 3 figures

Generating Test Scenarios from NL Requirements using Retrieval-Augmented LLMs: An Industrial Study

Chetan Arora, Tomas Herda, Verena Homm

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Takeaways from Applying LLM Capabilities to Multiple Conversational Avatars in a VR Pilot Study

Mykola Maslych, Christian Pumarada, Amirpouya Ghasemaghaei, Joseph J. LaViola

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions

Anant Prakash Awasthi, Girdhar Gopal Agarwal, Chandraketu Singh, Rakshit Varma, Sanchit Sharma

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Casevo: A Cognitive Agents and Social Evolution Simulator

Zexun Jiang, Yafang Shi, Maoxu Li, Hongjiang Xiao, Yunxiao Qin, Qinglan Wei, Ye Wang, Yuan Zhang

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

GHIssuemarket: A Sandbox Environment for SWE-Agents Economic Experimentation

Mohamed A. Fouad, Marcelo de Almeida Maia

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 2 figures

Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission

Ruichen Zhang, Hongyang Du, Yinqiu Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Dong In Kim

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments 15 pages, 10 figures

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs

Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D'arcy, David Wadden, Matt Latzke, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Dan Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi

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

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design

Siyu Liu, Tongqi Wen, Beilin Ye, Zhuoyuan Li, David J. Srolovitz

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Molecule Generation with Fragment Retrieval Augmentation

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Comments NeurIPS 2024

SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models

Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；RAG(abstract)

Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning

Zhili Shen, Pavlos Vougiouklis, Chenxin Diao, Kaustubh Vyas, Yuanyi Ji, Jeff Z. Pan

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

Comments EMNLP 2024 Main

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model

Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li

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

Comments NeurIPS 2024 Camera-ready Version. Code: https://github.com/icip-cas/SelfRetrieval

EmbodiedRAG: Dynamic 3D Scene Graph Retrieval for Efficient and Scalable Robot Task Planning

Meghan Booker, Grayson Byrd, Bethany Kemp, Aurora Schmidt, Corban Rivera

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Customized FinGPT Search Agents Using Foundation Models

Felix Tian, Ajay Byadgi, Daniel Kim, Daochen Zha, Matt White, Kairong Xiao, Xiao-Yang Liu Yanglet

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Journal ref 5th ACM International Conference on AI in Finance, 2024

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

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

Comments Under review

LLM-based Unit Test Generation via Property Retrieval

Zhe Zhang, Xingyu Liu, Yuanzhang Lin, Xiang Gao, Hailong Sun, Yuan Yuan

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering

Lu Shi, Bin Qi, Jiarui Luo, Yang Zhang, Zhanzhao Liang, Zhaowei Gao, Wenke Deng, Lin Sun

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

LitSearch: A Retrieval Benchmark for Scientific Literature Search

Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao

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

Comments Accepted by EMNLP 2024. Dataset and code are available at https://github.com/princeton-nlp/LitSearch

ACER: Automatic Language Model Context Extension via Retrieval

Luyu Gao, Yunyi Zhang, Jamie Callan

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

Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

Evgenii Kortukov, Alexander Rubinstein, Elisa Nguyen, Seong Joon Oh

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search

Solmaz Seyed Monir, Irene Lau, Shubing Yang, Dongfang Zhao

专题命中 检索器与排序 ：vector search(abstract)；分类 cs.IR、cs.AI、cs.DB

Comments 10 pages, 14 figures

GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval

Wonduk Seo, Haojie Zhang, Yueyang Zhang, Changhao Zhang, Songyao Duan, Lixin Su, Daiting Shi, Jiashu Zhao, Dawei Yin

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

Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study

Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Yonggang Wen, Dong In Kim

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments 9 pages

Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat

Sidong Feng, Haochuan Lu, Jianqin Jiang, Ting Xiong, Likun Huang, Yinglin Liang, Xiaoqin Li, Yuetang Deng, Aldeida Aleti

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；RAG(abstract)

RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance

Avideep Mukherjee, Soumya Banerjee, Piyush Rai, Vinay P. Namboodiri

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)

vitaLITy 2: Reviewing Academic Literature Using Large Language Models

Hongye An, Arpit Narechania, Emily Wall, Kai Xu

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments 7 pages, 4 figures, NLVIZ Workshop 2024 (IEEE VIS 2024)

A Primer on Generative AI for Telecom: From Theory to Practice

Xingqin Lin, Lopamudra Kundu, Chris Dick, Maria Amparo Canaveras Galdon, Janaki Vamaraju, Swastika Dutta, Vinay Raman

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；RAG(abstract)

Comments 7 pages, 6 figures, submitted for possible publication

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective

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

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

Comments Survey paper