RAG / 检索增强生成

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei, Tongshuang Wu

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

Quantum-RAG and PunGPT2: Advancing Low-Resource Language Generation and Retrieval for the Punjabi Language

Jaskaranjeet Singh, Rakesh Thakur

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

MHier-RAG: Multi-Modal RAG for Visual-Rich Document Question-Answering via Hierarchical and Multi-Granularity Reasoning

Ziyu Gong, Chengcheng Mai, Yihua Huang

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

Comments Comments: Update Title, Author, Abstract, etc

Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysis

Jiashu Ye, Tong Wu, Weiwen Chen, Hao Zhang, Zeteng Lin, Xingxing Li, Shujuan Weng, Manni Zhu, Xin Yuan, Xinlong Hong, Jingjie Li, Junyu Zheng, Zhijiong Huang, Jing Tang

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

AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems

Bo Ma, Hang Li, ZeHua Hu, XiaoFan Gui, LuYao Liu, Simon Liu

机构 * Department of Software \& Microelectronics Peking University Beijing, China ； Department of Software \& Microelectronics Peking University Beijing, China hangli\ ； Department of Software \& Microelectronics Peking University Beijing, China zehua\ ； Department of Software \& Microelectronics Peking University Beijing, China xiaofan\ ； Economic Law School China University of Political Science ； School of Computer Science Peking University Beijing, China 纠错

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

A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges

Rahul Raja, Anshaj Vats, Arpita Vats, Anirban Majumder

机构 * Linkedin, Carnegie Mellon University, Stanford University（LinkedIn、卡内基梅隆大学、斯坦福大学） ； Meta ； Linkedin, Meta AI, Amazon, Boston University（LinkedIn、Meta AI、亚马逊、波士顿大学） ； Amazon（亚马逊） 纠错

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

Automatic Building Code Review: A Case Study

Hanlong Wan, Weili Xu, Michael Rosenberg, Jian Zhang, Aysha Siddika

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

MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs

Prakhar Sharma, Haohuang Wen, Vinod Yegneswaran, Ashish Gehani, Phillip Porras, Zhiqiang Lin

机构 * SRI ； The Ohio State University（俄亥俄州立大学） 纠错

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

MALF: A Multi-Agent LLM Framework for Intelligent Fuzzing of Industrial Control Protocols

Bowei Ning, Xuejun Zong, Kan He

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

MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents

George Fatouros, Kostas Metaxas, John Soldatos, Manos Karathanassis

机构 * George Fatouros 1,2（乔治·法图罗斯（1,2）） ； Kostas Metaxas 1,3（科斯塔斯·梅塔克斯（1,3）） ； John Soldatos 2（约翰·索拉托斯（2）） ； Manos Karathanassis 3（曼纳斯·卡拉塔西斯（3）） 纠错

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

Comments 25 pages, 7 figures, Under review at Financial Innovation (FIN)

FocusAgent: Simple Yet Effective Ways of Trimming the Large Context of Web Agents

Imene Kerboua, Sahar Omidi Shayegan, Megh Thakkar, Xing Han Lù, Léo Boisvert, Massimo Caccia, Jérémy Espinas, Alexandre Aussem, Véronique Eglin, Alexandre Lacoste

机构 * LIRIS - CNRS, INSA Lyon, Universite Claude Bernard Lyon 1（LIRIS - CNRS，INSA里昂，克劳德·贝尔纳大学里昂） ； Esker ； ServiceNow Research（ServiceNow研究） ； Mila - Quebec AI Institute（魁北克人工智能研究所） ； McGill University（麦吉尔大学） ； Polytechnique Montréal（蒙特利尔理工学院） 纠错

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