RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | An, Bang, Zhang, Shiyue, Dredze, Mark |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
par: Sun, Kaiser, et autres
Publié: (2024)
par: Sun, Kaiser, et autres
Publié: (2024)
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
par: Fan, Wenqi, et autres
Publié: (2024)
par: Fan, Wenqi, et autres
Publié: (2024)
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
par: Li, Feiyang, et autres
Publié: (2025)
par: Li, Feiyang, et autres
Publié: (2025)
On the Failure of Latent State Persistence in Large Language Models
par: Huang, Jen-tse, et autres
Publié: (2025)
par: Huang, Jen-tse, et autres
Publié: (2025)
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
par: Zhang, Shiyue, et autres
Publié: (2023)
par: Zhang, Shiyue, et autres
Publié: (2023)
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
par: Jiang, Ziyan, et autres
Publié: (2024)
par: Jiang, Ziyan, et autres
Publié: (2024)
Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
par: Zou, Deyu, et autres
Publié: (2025)
par: Zou, Deyu, et autres
Publié: (2025)
Evaluating the Retrieval Robustness of Large Language Models
par: Cao, Shuyang, et autres
Publié: (2025)
par: Cao, Shuyang, et autres
Publié: (2025)
DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation
par: Chu, Rui, et autres
Publié: (2026)
par: Chu, Rui, et autres
Publié: (2026)
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
par: Sun, Jiashuo, et autres
Publié: (2025)
par: Sun, Jiashuo, et autres
Publié: (2025)
DuetRAG: Collaborative Retrieval-Augmented Generation
par: Jiao, Dian, et autres
Publié: (2024)
par: Jiao, Dian, et autres
Publié: (2024)
Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts
par: Chen, Hongyu, et autres
Publié: (2025)
par: Chen, Hongyu, et autres
Publié: (2025)
MedBioRAG: Semantic Search and Retrieval-Augmented Generation with Large Language Models for Medical and Biological QA
par: Kim, Seonok
Publié: (2025)
par: Kim, Seonok
Publié: (2025)
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
par: Jeong, Soyeong, et autres
Publié: (2024)
par: Jeong, Soyeong, et autres
Publié: (2024)
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
par: Yao, Ruobing, et autres
Publié: (2025)
par: Yao, Ruobing, et autres
Publié: (2025)
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
par: Kang, Mintong, et autres
Publié: (2024)
par: Kang, Mintong, et autres
Publié: (2024)
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
par: Hu, Yucheng, et autres
Publié: (2024)
par: Hu, Yucheng, et autres
Publié: (2024)
Retrieval-Augmented Generation for Large Language Models: A Survey
par: Gao, Yunfan, et autres
Publié: (2023)
par: Gao, Yunfan, et autres
Publié: (2023)
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
par: Wang, Yu, et autres
Publié: (2025)
par: Wang, Yu, et autres
Publié: (2025)
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
par: Wiratunga, Nirmalie, et autres
Publié: (2024)
par: Wiratunga, Nirmalie, et autres
Publié: (2024)
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
par: Lee, Zhicheng, et autres
Publié: (2025)
par: Lee, Zhicheng, et autres
Publié: (2025)
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing
par: Li, Kuan, et autres
Publié: (2025)
par: Li, Kuan, et autres
Publié: (2025)
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
par: Wang, Zilong, et autres
Publié: (2024)
par: Wang, Zilong, et autres
Publié: (2024)
PersianRAG: A Retrieval-Augmented Generation System for Persian Language
par: Hosseini, Hossein, et autres
Publié: (2024)
par: Hosseini, Hossein, et autres
Publié: (2024)
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs
par: Rezaei, Mohammad Reza, et autres
Publié: (2025)
par: Rezaei, Mohammad Reza, et autres
Publié: (2025)
CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs
par: Ranjan, Ravi, et autres
Publié: (2026)
par: Ranjan, Ravi, et autres
Publié: (2026)
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
par: Wang, Fei, et autres
Publié: (2024)
par: Wang, Fei, et autres
Publié: (2024)
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
par: Islam, Shayekh Bin, et autres
Publié: (2024)
par: Islam, Shayekh Bin, et autres
Publié: (2024)
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
par: Yu, Yue, et autres
Publié: (2024)
par: Yu, Yue, et autres
Publié: (2024)
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
par: Fleischer, Daniel, et autres
Publié: (2024)
par: Fleischer, Daniel, et autres
Publié: (2024)
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
par: Li, Mingda, et autres
Publié: (2024)
par: Li, Mingda, et autres
Publié: (2024)
HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations
par: Cao, Linxiao, et autres
Publié: (2025)
par: Cao, Linxiao, et autres
Publié: (2025)
GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation
par: Rappazzo, Brendan Hogan, et autres
Publié: (2024)
par: Rappazzo, Brendan Hogan, et autres
Publié: (2024)
Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer
par: DeLucia, Alexandra, et autres
Publié: (2025)
par: DeLucia, Alexandra, et autres
Publié: (2025)
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
par: Ni, Bo, et autres
Publié: (2025)
par: Ni, Bo, et autres
Publié: (2025)
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
par: Sharma, Kartik, et autres
Publié: (2024)
par: Sharma, Kartik, et autres
Publié: (2024)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
par: Xue, Jiaqi, et autres
Publié: (2024)
par: Xue, Jiaqi, et autres
Publié: (2024)
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
par: Chen, Zhongwu, et autres
Publié: (2024)
par: Chen, Zhongwu, et autres
Publié: (2024)
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
par: Xu, Ran, et autres
Publié: (2025)
par: Xu, Ran, et autres
Publié: (2025)
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
par: Huang, Chengkai, et autres
Publié: (2024)
par: Huang, Chengkai, et autres
Publié: (2024)
Documents similaires
-
Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
par: Sun, Kaiser, et autres
Publié: (2024) -
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
par: Fan, Wenqi, et autres
Publié: (2024) -
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
par: Li, Feiyang, et autres
Publié: (2025) -
On the Failure of Latent State Persistence in Large Language Models
par: Huang, Jen-tse, et autres
Publié: (2025) -
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
par: Zhang, Shiyue, et autres
Publié: (2023)