Copertina

Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Jinwen, Zhang, Hainan, Pang, Liang, Tong, Yongxin, Zhou, Haibo, Zhan, Yuan, Lin, Wei, Zheng, Zhiming
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning
di: Zhang, Qianchi, et al.
Pubblicazione: (2025)

Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
di: Wang, Yujing, et al.
Pubblicazione: (2025)

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
di: Liang, Zhilin, et al.
Pubblicazione: (2026)

Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
di: Zhang, Qianchi, et al.
Pubblicazione: (2026)

HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data
di: Qian, Cheng, et al.
Pubblicazione: (2025)

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
di: Zhang, Qianchi, et al.
Pubblicazione: (2024)

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
di: Wang, Yujing, et al.
Pubblicazione: (2024)

Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation
di: Zhang, Ruiqi, et al.
Pubblicazione: (2026)

Dynamic and Parametric Retrieval-Augmented Generation
di: Su, Weihang, et al.
Pubblicazione: (2025)

Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
di: Koga, Tatsuki, et al.
Pubblicazione: (2024)

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
di: Mao, Qianren, et al.
Pubblicazione: (2025)

LocalSUG: City-Preference-Enhanced LLM for Query Suggestion in Local-Life Services
di: Chen, Jinwen, et al.
Pubblicazione: (2026)

Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
di: Tang, Minghao, et al.
Pubblicazione: (2025)

Parametric Retrieval Augmented Generation
di: Su, Weihang, et al.
Pubblicazione: (2025)

Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models
di: Chen, Jinwen, et al.
Pubblicazione: (2025)

PrivGemo: Privacy-Preserving Dual-Tower Graph Retrieval for Empowering LLM Reasoning with Memory Augmentation
di: Tan, Xingyu, et al.
Pubblicazione: (2026)

Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation
di: Su, Weihang, et al.
Pubblicazione: (2026)

Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation
di: Xu, Zhichao, et al.
Pubblicazione: (2025)

FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
di: Zhang, Zishuai, et al.
Pubblicazione: (2025)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
di: Jia, Pengyue, et al.
Pubblicazione: (2024)

Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
di: Tan, Yuqiao, et al.
Pubblicazione: (2025)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
di: Ning, Yunfeng, et al.
Pubblicazione: (2025)

Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
di: Ding, Hanxing, et al.
Pubblicazione: (2024)

Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
di: Zheng, JiaYing, et al.
Pubblicazione: (2025)

LLM-Guided Knowledge Distillation for Temporal Knowledge Graph Reasoning
di: Xing, Wang, et al.
Pubblicazione: (2026)

Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
di: Cong, Youan, et al.
Pubblicazione: (2024)

Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning
di: Wang, Yuhua, et al.
Pubblicazione: (2026)

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
di: Pang, Xinyu, et al.
Pubblicazione: (2024)

You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
di: Chen, Shengyuan, et al.
Pubblicazione: (2025)

Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models
di: Xing, Wang, et al.
Pubblicazione: (2026)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
di: Zheng, Yilun, et al.
Pubblicazione: (2025)

Retrieval-Augmented Generation with Hierarchical Knowledge
di: Huang, Haoyu, et al.
Pubblicazione: (2025)

Improving Retrieval Augmented Language Model with Self-Reasoning
di: Xia, Yuan, et al.
Pubblicazione: (2024)

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs
di: Atwal, Tevin, et al.
Pubblicazione: (2025)

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
di: Chen, Hao, et al.
Pubblicazione: (2025)

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
di: Yuan, Xujie, et al.
Pubblicazione: (2025)

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
di: Gu, Jiawei, et al.
Pubblicazione: (2025)

Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
di: Tang, Minghao, et al.
Pubblicazione: (2025)

Knowledge Graph-Guided Retrieval Augmented Generation
di: Zhu, Xiangrong, et al.
Pubblicazione: (2025)

Chain-of-Retrieval Augmented Generation
di: Wang, Liang, et al.
Pubblicazione: (2025)