Cover Image

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Zhongxiang, Zang, Xiaoxue, Zheng, Kai, Song, Yang, Xu, Jun, Zhang, Xiao, Yu, Weijie, Li, Han
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
by: Sun, Zhongxiang, et al.
Published: (2025)

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
by: Zhang, Kepu, et al.
Published: (2025)

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
by: Shi, Teng, et al.
Published: (2025)

Trigger$^3$: Refining Query Correction via Adaptive Model Selector
by: Zhang, Kepu, et al.
Published: (2024)

LargePiG: Your Large Language Model is Secretly a Pointer Generator
by: Sun, Zhongxiang, et al.
Published: (2024)

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning
by: Si, Zihua, et al.
Published: (2023)

Large Language Models Enhanced Collaborative Filtering
by: Sun, Zhongxiang, et al.
Published: (2024)

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
by: Sun, Zhongxiang, et al.
Published: (2024)

Unified Generative Search and Recommendation
by: Shi, Teng, et al.
Published: (2025)

InterpDetect: Interpretable Signals for Detecting Hallucinations in Retrieval-Augmented Generation
by: Tan, Likun, et al.
Published: (2025)

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion
by: Wang, Lei
Published: (2025)

Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment
by: Li, Shanghao, et al.
Published: (2025)

When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
by: Sun, Zhongxiang, et al.
Published: (2026)

Logic Rules as Explanations for Legal Case Retrieval
by: Sun, Zhongxiang, et al.
Published: (2024)

UniSAR: Modeling User Transition Behaviors between Search and Recommendation
by: Shi, Teng, et al.
Published: (2024)

An Explicit Syllogistic Legal Reasoning Framework for Large Language Models
by: Zhang, Kepu, et al.
Published: (2025)

Bi'an: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation
by: Jiang, Zhouyu, et al.
Published: (2025)

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

Detecting Hallucinations in Retrieval-Augmented Generation via Semantic-level Internal Reasoning Graph
by: Hu, Jianpeng, et al.
Published: (2026)

KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)

Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
by: Sun, Zhongxiang, et al.
Published: (2026)

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
by: Guo, Hanghui, et al.
Published: (2025)

Mitigating Hallucination in Financial Retrieval-Augmented Generation via Fine-Grained Knowledge Verification
by: Yin, Taoye, et al.
Published: (2026)

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics
by: Chang, Tyler A., et al.
Published: (2024)

Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
by: Wang, Haoyu, et al.
Published: (2026)

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
by: Gema, Aryo Pradipta, et al.
Published: (2024)

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
by: Niu, Cheng, et al.
Published: (2023)

Reframing Mechanistic Inference in Carrageenan‐Induced Epithelial Injury
by: Man Sun, et al.
Published: (2026)

When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
by: Wang, Yongjie, et al.
Published: (2025)

Streaming Hallucination Detection in Long Chain-of-Thought Reasoning
by: Lu, Haolang, et al.
Published: (2026)

LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation
by: Hu, Haichuan, et al.
Published: (2024)

Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation
by: Chu, Yun-Wei, et al.
Published: (2025)

Bolster Hallucination Detection via Prompt-Guided Data Augmentation
by: Li, Wenyun, et al.
Published: (2025)

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
by: Yu, Xiaodong, et al.
Published: (2023)

PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization
by: Jiao, Yang, et al.
Published: (2025)

Hallucination Detection for LLM-based Text-to-SQL Generation via Two-Stage Metamorphic Testing
by: Yang, Bo, et al.
Published: (2025)

HomeSafe-Bench: Evaluating Vision-Language Models on Unsafe Action Detection for Embodied Agents in Household Scenarios
by: Pu, Jiayue, et al.
Published: (2026)

Balancing Stylization and Truth via Disentangled Representation Steering
by: Shen, Chenglei, et al.
Published: (2025)

Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
by: Song, Hwanjun, et al.
Published: (2025)