TrustRAG: An Information Assistant with Retrieval Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Fan, Yixing, Yan, Qiang, Wang, Wenshan, Guo, Jiafeng, Zhang, Ruqing, Cheng, Xueqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
On the Capacity of Citation Generation by Large Language Models
by: Qian, Haosheng, et al.
Published: (2024)
by: Qian, Haosheng, et al.
Published: (2024)
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025)
by: Zhang, Yingchen, et al.
Published: (2025)
VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
by: Qian, Haosheng, et al.
Published: (2025)
by: Qian, Haosheng, et al.
Published: (2025)
RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
by: Guo, Yucan, et al.
Published: (2025)
by: Guo, Yucan, et al.
Published: (2025)
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)
by: Song, Hongru, et al.
Published: (2025)
On the Scaling of Robustness and Effectiveness in Dense Retrieval
by: Liu, Yu-An, et al.
Published: (2025)
by: Liu, Yu-An, et al.
Published: (2025)
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
by: Zhang, Hengran, et al.
Published: (2023)
by: Zhang, Hengran, et al.
Published: (2023)
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
by: Wei, Wenda, et al.
Published: (2025)
by: Wei, Wenda, et al.
Published: (2025)
Continual Learning for Generative Retrieval over Dynamic Corpora
by: Chen, Jiangui, et al.
Published: (2023)
by: Chen, Jiangui, et al.
Published: (2023)
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
by: Song, Hongru, et al.
Published: (2026)
by: Song, Hongru, et al.
Published: (2026)
On the Robustness of Generative Information Retrieval Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Are Large Language Models Good at Utility Judgments?
by: Zhang, Hengran, et al.
Published: (2024)
by: Zhang, Hengran, et al.
Published: (2024)
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
A Generative Framework for Personalized Sticker Retrieval
by: Zhou, Changjiang, et al.
Published: (2025)
by: Zhou, Changjiang, et al.
Published: (2025)
LightRAG: Simple and Fast Retrieval-Augmented Generation
by: Guo, Zirui, et al.
Published: (2024)
by: Guo, Zirui, et al.
Published: (2024)
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)
by: Song, Hongru, et al.
Published: (2025)
Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation
by: Dai, Sijun, et al.
Published: (2026)
by: Dai, Sijun, et al.
Published: (2026)
Engineering the RAG Stack: A Comprehensive Review of the Architecture and Trust Frameworks for Retrieval-Augmented Generation Systems
by: Wampler, Dean, et al.
Published: (2025)
by: Wampler, Dean, et al.
Published: (2025)
Retrieval-Augmented Generation Assistant for Anatomical Pathology Laboratories
by: Pires, Diogo, et al.
Published: (2025)
by: Pires, Diogo, et al.
Published: (2025)
Listwise Generative Retrieval Models via a Sequential Learning Process
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
by: Zhang, Chao, et al.
Published: (2025)
by: Zhang, Chao, et al.
Published: (2025)
HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)
by: Madhu, Hiren, et al.
Published: (2026)
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
by: Guo, Jiafeng, et al.
Published: (2024)
by: Guo, Jiafeng, et al.
Published: (2024)
AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
by: Hou, Yanning, et al.
Published: (2026)
by: Hou, Yanning, et al.
Published: (2026)
PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
by: Wang, Baiqiang, et al.
Published: (2025)
by: Wang, Baiqiang, et al.
Published: (2025)
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
by: Wang, Shu, et al.
Published: (2025)
by: Wang, Shu, et al.
Published: (2025)
Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025)
by: Tang, Yubao, et al.
Published: (2025)
SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
by: Yu, Rui, et al.
Published: (2026)
by: Yu, Rui, et al.
Published: (2026)
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
A survey: Information search time optimization based on RAG (Retrieval Augmentation Generation) chatbot
by: Patel, Jinesh, et al.
Published: (2025)
by: Patel, Jinesh, et al.
Published: (2025)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Robust Information Retrieval
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
by: Wang, Ke, et al.
Published: (2025)
by: Wang, Ke, et al.
Published: (2025)
Similar Items
-
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
by: Liu, Yu-An, et al.
Published: (2024) -
On the Capacity of Citation Generation by Large Language Models
by: Qian, Haosheng, et al.
Published: (2024) -
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025) -
VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
by: Qian, Haosheng, et al.
Published: (2025) -
RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
by: Guo, Yucan, et al.
Published: (2025)