Cover Image

Attribution Techniques for Mitigating Hallucinated Information in RAG Systems: A Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yuqing, Liu, Ziyao, Zheng, Yongsen, Lam, Kwok-Yan
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System
by: Zheng, Yongsen, et al.
Published: (2025)

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution
by: Chen, Chen, et al.
Published: (2025)

Mitigating Hallucination on Hallucination in RAG via Ensemble Voting
by: Xie, Zequn, et al.
Published: (2026)

The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents
by: Chen, Chen, et al.
Published: (2026)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey
by: Liu, Ziyao, et al.
Published: (2024)

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
by: Tonmoy, S. M Towhidul Islam, et al.
Published: (2024)

Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
by: Li, Yihan, et al.
Published: (2025)

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

TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
by: Lu, Pengqian, et al.
Published: (2025)

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
by: Zhang, Ziyao, et al.
Published: (2024)

MetaRAG: Metamorphic Testing for Hallucination Detection in RAG Systems
by: Sok, Channdeth, et al.
Published: (2025)

Generating Effective CoT Traces for Mitigating Causal Hallucination
by: Zhao, Yiheng, et al.
Published: (2026)

Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution
by: Qin, Tian, et al.
Published: (2026)

MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation
by: Wu, Wenlong, et al.
Published: (2025)

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
by: Xu, Derong, et al.
Published: (2024)

FVA-RAG: Falsification-Verification Alignment for Mitigating Sycophantic Hallucinations
by: Ravishankara, Mayank
Published: (2025)

LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals
by: Yeh, Samuel, et al.
Published: (2025)

Hallucination Mitigating for Medical Report Generation
by: Zhao, Ruoqing, et al.
Published: (2026)

Removal of Hallucination on Hallucination: Debate-Augmented RAG
by: Hu, Wentao, et al.
Published: (2025)

FROC: A Unified Framework with Risk-Optimized Control for Machine Unlearning in LLMs
by: Goh, Si Qi, et al.
Published: (2025)

Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)

Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models
by: Pham, Duy Khoa, et al.
Published: (2024)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
by: Li, Yangning, et al.
Published: (2025)

Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
by: Chen, Baiyu, et al.
Published: (2025)

Neutralizing Backdoors through Information Conflicts for Large Language Models
by: Chen, Chen, et al.
Published: (2024)

Atomic Information Flow: A Network Flow Model for Tool Attributions in RAG Systems
by: Gao, James, et al.
Published: (2026)

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking
by: Cheng, Xiaoxue, et al.
Published: (2025)

A Survey on Pedophile Attribution Techniques for Online Platforms
by: Fallatah, Hiba, et al.
Published: (2025)

Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG
by: Elchafei, Passant, et al.
Published: (2026)

Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding
by: Ma, Ruiqi, et al.
Published: (2025)

FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
by: Sarwar, Nobin
Published: (2025)

Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
by: Kwok, Chin Yuen, et al.
Published: (2025)

COMPASS: Context-Modulated PID Attention Steering System for Hallucination Mitigation
by: Sahay, Kenji, et al.
Published: (2025)

AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents
by: Liu, Xuannan, et al.
Published: (2026)

Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
by: Zhao, Siyun, et al.
Published: (2024)

Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
by: Bai, Jiaqi, et al.
Published: (2025)

Addressing Hallucinations with RAG and NMISS in Italian Healthcare LLM Chatbots
by: Priola, Maria Paola
Published: (2024)

Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
by: Chae, Kyubyung, et al.
Published: (2024)

HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain
by: Anaokar, Spandan, et al.
Published: (2025)

Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
by: Li, Yifan, et al.
Published: (2025)