RAG / 检索增强生成

QU-NLP at QIAS 2025 Shared Task: A Two-Phase LLM Fine-Tuning and Retrieval-Augmented Generation Approach for Islamic Inheritance Reasoning

Mohammad AL-Smadi

机构 * Qatar University（卡塔尔大学） 纠错

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

MV-RAG: Retrieval Augmented Multiview Diffusion

Yosef Dayani, Omer Benishu, Sagie Benaim

机构 * Hebrew University of Jerusalem（耶路撒冷希伯来大学） 纠错

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

Comments Project page: https://yosefdayani.github.io/MV-RAG

Agentic AI Empowered Multi-UAV Trajectory Optimization in Low-Altitude Economy Networks

Feibo Jiang, Li Dong, Xitao Pan, Kezhi Wang, Cunhua Pan

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

Research on intelligent generation of structural demolition suggestions based on multi-model collaboration

Zhifeng Yang, Peizong Wu

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

CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs

Jingyu Pan, Isaac Jacobson, Zheng Zhao, Tung-Chieh Chen, Guanglei Zhou, Chen-Chia Chang, Vineet Rashingkar, Yiran Chen

机构 * Electrical and Computer Engineering, Duke University（电气与计算机工程系，杜克大学） ； Synopsys Inc.（Synopsys公司） 纠错

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

Comments Accepted by ICCAD 2025

ALAS: Autonomous Learning Agent for Self-Updating Language Models

Dhruv Atreja

机构 * Dhruv Atreja（独立研究者） 纠错

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