FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Zhilin, Wang, Yuxiang, Zhou, Zimu, Zhang, Hainan, Liu, Boyi, Tong, Yongxin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
by: Chen, Jinwen, et al.
Published: (2025)
by: Chen, Jinwen, et al.
Published: (2025)
Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning
by: Zhang, Qianchi, et al.
Published: (2025)
by: Zhang, Qianchi, et al.
Published: (2025)
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
by: Wang, Yujing, et al.
Published: (2025)
by: Wang, Yujing, et al.
Published: (2025)
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
by: Zhang, Qianchi, et al.
Published: (2026)
by: Zhang, Qianchi, et al.
Published: (2026)
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
by: Zhang, Zishuai, et al.
Published: (2025)
by: Zhang, Zishuai, et al.
Published: (2025)
Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
by: Lu, Shule, et al.
Published: (2025)
by: Lu, Shule, et al.
Published: (2025)
CAFEDistill: Learning Personalized and Dynamic Models through Federated Early-Exit Network Distillation
by: Liu, Boyi, et al.
Published: (2026)
by: Liu, Boyi, et al.
Published: (2026)
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data
by: Qian, Cheng, et al.
Published: (2025)
by: Qian, Cheng, et al.
Published: (2025)
Dynamic and Parametric Retrieval-Augmented Generation
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2026)
by: Su, Weihang, et al.
Published: (2026)
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
by: Wang, Yujing, et al.
Published: (2024)
by: Wang, Yujing, et al.
Published: (2024)
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
by: Zhang, Qianchi, et al.
Published: (2024)
by: Zhang, Qianchi, et al.
Published: (2024)
Federated Retrieval Augmented Generation for Multi-Product Question Answering
by: Shojaee, Parshin, et al.
Published: (2025)
by: Shojaee, Parshin, et al.
Published: (2025)
Context Parametrization with Compositional Adapters
by: Jukić, Josip, et al.
Published: (2025)
by: Jukić, Josip, et al.
Published: (2025)
Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)
by: Tang, Minghao, et al.
Published: (2025)
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
by: Tan, Yuqiao, et al.
Published: (2025)
by: Tan, Yuqiao, et al.
Published: (2025)
Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation
by: Sun, Xin, et al.
Published: (2026)
by: Sun, Xin, et al.
Published: (2026)
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering
by: DeHaven, Mitchell
Published: (2024)
by: DeHaven, Mitchell
Published: (2024)
Evaluation of Retrieval-Augmented Generation: A Survey
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
by: Mao, Qianren, et al.
Published: (2025)
by: Mao, Qianren, et al.
Published: (2025)
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering
by: Zhang, Boyi, et al.
Published: (2025)
by: Zhang, Boyi, et al.
Published: (2025)
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
by: Huang, Jerry, et al.
Published: (2025)
by: Huang, Jerry, et al.
Published: (2025)
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
by: Fajardo, Val Andrei, et al.
Published: (2025)
by: Fajardo, Val Andrei, et al.
Published: (2025)
Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
by: Fan, Yuxin, et al.
Published: (2025)
by: Fan, Yuxin, et al.
Published: (2025)
Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
by: Phanse, Rohan, et al.
Published: (2025)
by: Phanse, Rohan, et al.
Published: (2025)
A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
by: Du, Mingxuan, et al.
Published: (2026)
by: Du, Mingxuan, et al.
Published: (2026)
Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation
by: Zhang, Ruiqi, et al.
Published: (2026)
by: Zhang, Ruiqi, et al.
Published: (2026)
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
by: Xia, Sirui, et al.
Published: (2024)
by: Xia, Sirui, et al.
Published: (2024)
RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction
by: Liang, Junhong, et al.
Published: (2025)
by: Liang, Junhong, et al.
Published: (2025)
Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
by: Huang, Xinyue, et al.
Published: (2025)
by: Huang, Xinyue, et al.
Published: (2025)
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
by: Huang, Zhongzhen, et al.
Published: (2024)
by: Huang, Zhongzhen, et al.
Published: (2024)
From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
by: Li, Lei, et al.
Published: (2025)
by: Li, Lei, et al.
Published: (2025)
DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation
by: Wang, Shaohan, et al.
Published: (2025)
by: Wang, Shaohan, et al.
Published: (2025)
EfficientGraph-RAG: Structured Retrieval-State Management for Cross-Task Retrieval-Augmented Generation
by: Niu, Miaohe, et al.
Published: (2026)
by: Niu, Miaohe, et al.
Published: (2026)
Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized Data
by: Liang, Zhaohua, et al.
Published: (2026)
by: Liang, Zhaohua, et al.
Published: (2026)
Federated Retrieval-Augmented Generation: A Systematic Mapping Study
by: Chakraborty, Abhijit, et al.
Published: (2025)
by: Chakraborty, Abhijit, et al.
Published: (2025)
Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
by: Cong, Youan, et al.
Published: (2024)
by: Cong, Youan, et al.
Published: (2024)
Similar Items
-
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
by: Chen, Jinwen, et al.
Published: (2025) -
Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning
by: Zhang, Qianchi, et al.
Published: (2025) -
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
by: Wang, Yujing, et al.
Published: (2025) -
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
by: Zhang, Qianchi, et al.
Published: (2026) -
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
by: Zhang, Zishuai, et al.
Published: (2025)