RAG / 检索增强生成

RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues

Tzu-Lin Kuo, Feng-Ting Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-Shan Shiu

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

Retrieval-Augmented Speech Recognition Approach for Domain Challenges

Peng Shen, Xugang Lu, Hisashi Kawai

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

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home

Viktor Moskvoretskii, Maria Lysyuk, Mikhail Salnikov, Nikolay Ivanov, Sergey Pletenev, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Irina Nikishina, Alexander Panchenko

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

Comments The code and data are at https://github.com/s-nlp/AdaRAGUE

SmartLLM: Smart Contract Auditing using Custom Generative AI

Jun Kevin, Pujianto Yugopuspito

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

Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts

Haoyuan Wu, Rui Ming, Haisheng Zheng, Zhuolun He, Bei Yu

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

Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks

Yuanjie Lyu, Chao Zhang, Yuhao Chen, Yong Chen, Tong Xu

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

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking

Kevin Nanekhan, Venktesh V, Erik Martin, Henrik Vatndal, Vinay Setty, Avishek Anand

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

Comments Accepted to ECIR 2025, 15 pages

Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs

Yepeng Liu, Xuandong Zhao, Dawn Song, Yuheng Bu

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

AI-VERDE: A Gateway for Egalitarian Access to Large Language Model-Based Resources For Educational Institutions

Paul Mithun, Enrique Noriega-Atala, Nirav Merchant, Edwin Skidmore

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

Comments 7 Pages, includes appendix. Submitted to NAACL System demonstrations track 2025

KIMAs: A Configurable Knowledge Integrated Multi-Agent System

Zitao Li, Fei Wei, Yuexiang Xie, Dawei Gao, Weirui Kuang, Zhijian Ma, Bingchen Qian, Yaliang Li, Bolin Ding

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

Combining Large Language Models with Static Analyzers for Code Review Generation

Imen Jaoua, Oussama Ben Sghaier, Houari Sahraoui

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

Are LLMs Correctly Integrated into Software Systems?

Yuchen Shao, Yuheng Huang, Jiawei Shen, Lei Ma, Ting Su, Chengcheng Wan

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

Comments accepted by ICSE 2025

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park

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

Comments NAACL 2025 Main

Position: Towards a Responsible LLM-empowered Multi-Agent Systems

Jinwei Hu, Yi Dong, Shuang Ao, Zhuoyun Li, Boxuan Wang, Lokesh Singh, Guangliang Cheng, Sarvapali D. Ramchurn, Xiaowei Huang

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

Comments Under Review

LLM-based event log analysis techniques: A survey

Siraaj Akhtar, Saad Khan, Simon Parkinson

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

LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks

Zan-Kai Chong, Hiroyuki Ohsaki, Bryan Ng

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

Comments 8 pages

GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback

Mohamed Abdelaal, Samuel Lokadjaja, Gilbert Engert

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

Journal ref Industrial Track of 21st Conference on Database Systems for Business, Technology and Web (BTW), 2025

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval

Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani, Adam Jatowt

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

Comments Accepted At NAACL 2025

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arık

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

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Battah, Bilel Cherif, Abdechakour Mechri, Norbert Tihanyi, Tamas Bisztray, Merouane Debbah

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

Comments 52 pages, 8 figures

Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps

Kannan Parthasarathy, Karthik Vaidhyanathan, Rudra Dhar, Venkat Krishnamachari, Basil Muhammed, Adyansh Kakran, Sreemaee Akshathala, Shrikara Arun, Sumant Dubey, Mohan Veerubhotla, Amey Karan

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

Comments The paper has been accepted as full paper to CAIN 2025 (https://conf.researchr.org/home/cain-2025), co-located with ICSE 2025 (https://conf.researchr.org/home/icse-2025). The paper was submitted to CAIN for review on 9 November 2024

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding

Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Song Yang, Han Li

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

Comments 11 pages, 5 figures

A Driver Advisory System Based on Large Language Model for High-speed Train

Y. C. Luo, J. Xun, W. Wang, R. Z. Zhang, Z. C. Zhao

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

Comments 18 pages, 7 figures, presented at 104th TRB Annual Meeting

BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems

Nikita Mehandru, Amanda K. Hall, Olesya Melnichenko, Yulia Dubinina, Daniel Tsirulnikov, David Bamman, Ahmed Alaa, Scott Saponas, Venkat S. Malladi

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

UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization

Yixia Li, Rong Xiang, Yanlin Song, Jing Li

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

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems. Project page is live at https://uni-poll.github.io . Code are available at https://github.com/X1AOX1A/UniPoll

From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive Grammars

Albert Kornilov, Tatiana Shavrina

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

Comments submitted to COLING 2025

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models

Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari Sahraoui

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

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models

Antony Seabra, Claudio Cavalcante, Joao Nepomuceno, Lucas Lago, Nicolaas Ruberg, Sergio Lifschitz

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

Comments International Conference on NLP, AI, Computer Science & Engineering (NLAICSE 2024)

RATT: A Thought Structure for Coherent and Correct LLM Reasoning

Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu

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

Comments Accepted by AAAI 2025

Improving Zero-shot LLM Re-Ranker with Risk Minimization

Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu

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

Comments EMNLP 2024