:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qian, Cheng, Zhang, Hainan, Tong, Yongxin, Zheng, Hong-Wei, Zheng, Zhiming
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2509.06444
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
par: Zhang, Zishuai, et autres
Publié: (2025)

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models
par: Lu, Shule, et autres
Publié: (2026)

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models
par: Lu, Shule, et autres
Publié: (2026)

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
par: Zhang, Qianchi, et autres
Publié: (2024)

HSF: Defending against Jailbreak Attacks with Hidden State Filtering
par: Qian, Cheng, et autres
Publié: (2024)

Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
par: Chen, Jinwen, et autres
Publié: (2025)

Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning
par: Zhang, Qianchi, et autres
Publié: (2025)

Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
par: Zhang, Qianchi, et autres
Publié: (2026)

Parameter Importance-Driven Continual Learning for Foundation Models
par: Wang, Lingxiang, et autres
Publié: (2025)

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
par: Liang, Zhilin, et autres
Publié: (2026)

FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
par: Zhang, Yuxin, et autres
Publié: (2024)

PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
par: Wang, Baiqiang, et autres
Publié: (2025)

FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
par: Lu, Shule, et autres
Publié: (2025)

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations
par: Feng, Zhangchi, et autres
Publié: (2024)

Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation
par: Zafar, Osama, et autres
Publié: (2026)

MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
par: Ling, Zihan, et autres
Publié: (2025)

Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
par: Xu, Yukai, et autres
Publié: (2024)

CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
par: Wang, Lingxiang, et autres
Publié: (2025)

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
par: Zhang, Chao, et autres
Publié: (2025)

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
par: Wang, Xinpeng, et autres
Publié: (2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
par: Zeng, Shenglai, et autres
Publié: (2024)

Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
par: Wang, Yujing, et autres
Publié: (2025)

Multiple Abstraction Level Retrieve Augment Generation
par: Zheng, Zheng, et autres
Publié: (2025)

TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
par: Yang, Silin, et autres
Publié: (2024)

TrustRAG: An Information Assistant with Retrieval Augmented Generation
par: Fan, Yixing, et autres
Publié: (2025)

InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning
par: Wang, Zheng, et autres
Publié: (2025)

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
par: Kalra, Rishi, et autres
Publié: (2024)

FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
par: Shen, Leming, et autres
Publié: (2025)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
par: Qian, Hongjin, et autres
Publié: (2024)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
par: Xue, Jiaqi, et autres
Publié: (2024)

Mesh RAG: Retrieval Augmentation for Autoregressive Mesh Generation
par: Sun, Xiatao, et autres
Publié: (2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
par: Wang, Zilong, et autres
Publié: (2024)

RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis
par: Shi, Daqian, et autres
Publié: (2026)

DuetRAG: Collaborative Retrieval-Augmented Generation
par: Jiao, Dian, et autres
Publié: (2024)

Deepchecks: Evaluating Retrieval-Augmented Generation (RAG)
par: Gerner, Assaf, et autres
Publié: (2026)

FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
par: Lin, Zheng, et autres
Publié: (2023)

FastRAG: Retrieval Augmented Generation for Semi-structured Data
par: Abane, Amar, et autres
Publié: (2024)

SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
par: Huang, Yongfeng, et autres
Publié: (2026)

MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments
par: Guo, Zhengsheng, et autres
Publié: (2025)

SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
par: Zhang, Yuxin, et autres
Publié: (2024)