Cover Image

The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ridder, Fabian, Schilling, Malte
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration
by: Ridder, Fabian, et al.
Published: (2026)

HalluGraph: Auditable Hallucination Detection for Legal RAG Systems via Knowledge Graph Alignment
by: Noël, Valentin, et al.
Published: (2025)

Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases
by: Li, Jiarui, et al.
Published: (2024)

The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
by: Sinha, Debu
Published: (2025)

MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
by: Pandit, Shrey, et al.
Published: (2025)

RAGProbe: An Automated Approach for Evaluating RAG Applications
by: Sivasothy, Shangeetha, et al.
Published: (2024)

Reward-RAG: Enhancing RAG with Reward Driven Supervision
by: Nguyen, Thang, et al.
Published: (2024)

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG
by: Zheng, Yijia, et al.
Published: (2026)

HalluWorld: A Controlled Benchmark for Hallucination via Reference World Models
by: Liu, Emmy, et al.
Published: (2026)

LLM-Independent Adaptive RAG: Let the Question Speak for Itself
by: Marina, Maria, et al.
Published: (2025)

Diversity Enhances an LLM's Performance in RAG and Long-context Task
by: Wang, Zhichao, et al.
Published: (2025)

ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
by: Wang, Juyuan, et al.
Published: (2025)

SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA
by: Xu, Haozhou, et al.
Published: (2025)

Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
by: Binkowski, Jakub, et al.
Published: (2026)

Structured RAG for Answering Aggregative Questions
by: Koshorek, Omri, et al.
Published: (2025)

Mitigating Bias in RAG: Controlling the Embedder
by: Kim, Taeyoun, et al.
Published: (2025)

Highlight & Summarize: RAG without the jailbreaks
by: Cherubin, Giovanni, et al.
Published: (2025)

HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection
by: Abdallah, Mohamed A., et al.
Published: (2025)

P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA
by: Lyu, Xingda, et al.
Published: (2026)

PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning
by: Kachuee, Mohammad, et al.
Published: (2025)

Post-training an LLM for RAG? Train on Self-Generated Demonstrations
by: Finlayson, Matthew, et al.
Published: (2025)

Biomedical Literature Q&A System Using Retrieval-Augmented Generation (RAG)
by: Garg, Mansi, et al.
Published: (2025)

FinReflectKG -- HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems
by: Kumar, Mahesh, et al.
Published: (2026)

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
by: Jin, Bowen, et al.
Published: (2024)

LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)

UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
by: Georgiev, Dobrik, et al.
Published: (2026)

AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
by: Rezaei, Mohammad Reza, et al.
Published: (2024)

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)

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

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

InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
by: Yehuda, Yakir, et al.
Published: (2024)

Long Context RAG Performance of Large Language Models
by: Leng, Quinn, et al.
Published: (2024)

Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation
by: Pezeshkpour, Pouya, et al.
Published: (2025)

HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
by: Urlana, Ashok, et al.
Published: (2025)

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
by: Chen, Jennifer, et al.
Published: (2025)

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

Towards Automated Safety Requirements Derivation Using Agent-based RAG
by: Balu, Balahari Vignesh, et al.
Published: (2025)

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG
by: Rizwan, Muhammed, et al.
Published: (2025)

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
by: Du, Xuefeng, et al.
Published: (2024)

Integrating Domain Knowledge for Financial QA: A Multi-Retriever RAG Approach with LLMs
by: Zhang, Yukun, et al.
Published: (2025)