RAGuard: A Novel Approach for in-context Safe Retrieval Augmented Generation for LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Walker, Connor, Aslansefat, Koorosh, Akram, Mohammad Naveed, Papadopoulos, Yiannis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explaining Large Language Models with gSMILE
by: Dehghani, Zeinab, et al.
Published: (2025)
by: Dehghani, Zeinab, et al.
Published: (2025)
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance
by: Walker, Connor, et al.
Published: (2024)
by: Walker, Connor, et al.
Published: (2024)
Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics
by: Dunn, Oliver, et al.
Published: (2025)
by: Dunn, Oliver, et al.
Published: (2025)
Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
Incorporating Failure of Machine Learning in Dynamic Probabilistic Safety Assurance
by: Arshadizadeh, Razieh, et al.
Published: (2025)
by: Arshadizadeh, Razieh, et al.
Published: (2025)
A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors
by: Ghaffarzadeh, Parvin, et al.
Published: (2026)
by: Ghaffarzadeh, Parvin, et al.
Published: (2026)
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations
by: Ahmadi, Seyed Mohammad, et al.
Published: (2024)
by: Ahmadi, Seyed Mohammad, et al.
Published: (2024)
Exploring the Impact of Skin Color on Skin Lesion Segmentation
by: Paxton, Kuniko, et al.
Published: (2026)
by: Paxton, Kuniko, et al.
Published: (2026)
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
by: Li, Zhuowan, et al.
Published: (2024)
by: Li, Zhuowan, et al.
Published: (2024)
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
by: Schmied, Thomas, et al.
Published: (2024)
by: Schmied, Thomas, et al.
Published: (2024)
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
by: Zhang, Haozhen, et al.
Published: (2024)
by: Zhang, Haozhen, et al.
Published: (2024)
Ad Auctions for LLMs via Retrieval Augmented Generation
by: Hajiaghayi, MohammadTaghi, et al.
Published: (2024)
by: Hajiaghayi, MohammadTaghi, et al.
Published: (2024)
Automated Formalization via Conceptual Retrieval-Augmented LLMs
by: Lu, Wangyue, et al.
Published: (2025)
by: Lu, Wangyue, et al.
Published: (2025)
Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE
by: Moghaddam, Zahra Zehtabi Sabeti, et al.
Published: (2025)
by: Moghaddam, Zahra Zehtabi Sabeti, et al.
Published: (2025)
AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
by: Wang, Yubo, et al.
Published: (2025)
by: Wang, Yubo, et al.
Published: (2025)
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)
by: Yu, Yue, et al.
Published: (2024)
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
by: Merth, Thomas, et al.
Published: (2024)
by: Merth, Thomas, et al.
Published: (2024)
Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networks
by: Zhang, Han, et al.
Published: (2024)
by: Zhang, Han, et al.
Published: (2024)
Source Attribution in Retrieval-Augmented Generation
by: Nematov, Ikhtiyor, et al.
Published: (2025)
by: Nematov, Ikhtiyor, et al.
Published: (2025)
CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
by: Wang, Jun, et al.
Published: (2025)
by: Wang, Jun, et al.
Published: (2025)
Retrieval Augmented Generation for Dynamic Graph Modeling
by: Wu, Yuxia, et al.
Published: (2024)
by: Wu, Yuxia, et al.
Published: (2024)
CiMRAG: CiM-Aware Domain-Adaptive and Noise-Resilient Retrieval-Augmented Generation for Edge-Based LLMs
by: Chiu, Shih-Hsuan, et al.
Published: (2026)
by: Chiu, Shih-Hsuan, et al.
Published: (2026)
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)
by: Fleischer, Daniel, et al.
Published: (2024)
Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
by: Shojaei, Akram, et al.
Published: (2025)
by: Shojaei, Akram, et al.
Published: (2025)
Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach
by: Xie, Tianyang, et al.
Published: (2025)
by: Xie, Tianyang, et al.
Published: (2025)
Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
by: Zhang, Zishen, et al.
Published: (2025)
by: Zhang, Zishen, et al.
Published: (2025)
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios
by: Ding, Wenhao, et al.
Published: (2023)
by: Ding, Wenhao, et al.
Published: (2023)
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation
by: Cohen, Dvir, et al.
Published: (2025)
by: Cohen, Dvir, et al.
Published: (2025)
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)
by: Liu, Wanlong, et al.
Published: (2024)
Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
by: Yan, Yuchen, et al.
Published: (2025)
by: Yan, Yuchen, et al.
Published: (2025)
PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation
by: Wu, Wanyin, et al.
Published: (2026)
by: Wu, Wanyin, et al.
Published: (2026)
Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?
by: Shah, Syed Huma
Published: (2026)
by: Shah, Syed Huma
Published: (2026)
Retrieval Augmented Question Answering: When Should LLMs Admit Ignorance?
by: Wang, Dingmin, et al.
Published: (2025)
by: Wang, Dingmin, et al.
Published: (2025)
RePCS: Diagnosing Data Memorization in LLM-Powered Retrieval-Augmented Generation
by: Anh, Le Vu, et al.
Published: (2025)
by: Anh, Le Vu, et al.
Published: (2025)
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation
by: Zhu, Yuqicheng, et al.
Published: (2025)
by: Zhu, Yuqicheng, et al.
Published: (2025)
Similar Items
-
Explaining Large Language Models with gSMILE
by: Dehghani, Zeinab, et al.
Published: (2025) -
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
by: Paxton, Kuniko, et al.
Published: (2025) -
SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance
by: Walker, Connor, et al.
Published: (2024) -
Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics
by: Dunn, Oliver, et al.
Published: (2025) -
Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting
by: Paxton, Kuniko, et al.
Published: (2025)