FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Sawczyn, Albert, Binkowski, Jakub, Janiak, Denis, Gabrys, Bogdan, Kajdanowicz, Tomasz |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hallucination Detection in LLMs Using Spectral Features of Attention Maps
by: Binkowski, Jakub, et al.
Published: (2025)
by: Binkowski, Jakub, et al.
Published: (2025)
The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
by: Janiak, Denis, et al.
Published: (2025)
by: Janiak, Denis, et al.
Published: (2025)
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)
by: Sawczyn, Albert, et al.
Published: (2024)
A Geometry-Based View of Mahalanobis OOD Detection
by: Janiak, Denis, et al.
Published: (2025)
by: Janiak, Denis, et al.
Published: (2025)
Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
by: Binkowski, Jakub, et al.
Published: (2026)
by: Binkowski, Jakub, et al.
Published: (2026)
KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
by: Sawczyn, Albert, et al.
Published: (2026)
by: Sawczyn, Albert, et al.
Published: (2026)
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
by: Sawczyn, Albert, et al.
Published: (2024)
by: Sawczyn, Albert, et al.
Published: (2024)
Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts
by: Gupta, Raavi, et al.
Published: (2025)
by: Gupta, Raavi, et al.
Published: (2025)
Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
by: Rahman, Subhey Sadi, et al.
Published: (2025)
by: Rahman, Subhey Sadi, et al.
Published: (2025)
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
by: Chen, Xiang, et al.
Published: (2023)
by: Chen, Xiang, et al.
Published: (2023)
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
by: Fadeeva, Ekaterina, et al.
Published: (2024)
by: Fadeeva, Ekaterina, et al.
Published: (2024)
Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts
by: Mujahid, Zain Muhammad, et al.
Published: (2025)
by: Mujahid, Zain Muhammad, et al.
Published: (2025)
LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems
by: Leite, João A., et al.
Published: (2026)
by: Leite, João A., et al.
Published: (2026)
Contrastive Learning to Improve Retrieval for Real-world Fact Checking
by: Sriram, Aniruddh, et al.
Published: (2024)
by: Sriram, Aniruddh, et al.
Published: (2024)
FactLens: Benchmarking Fine-Grained Fact Verification
by: Mitra, Kushan, et al.
Published: (2024)
by: Mitra, Kushan, et al.
Published: (2024)
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
by: Akhtar, Mubashara, et al.
Published: (2024)
by: Akhtar, Mubashara, et al.
Published: (2024)
Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals
by: Opsahl, Tobias A.
Published: (2024)
by: Opsahl, Tobias A.
Published: (2024)
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
by: Eldifrawi, Islam, et al.
Published: (2024)
by: Eldifrawi, Islam, et al.
Published: (2024)
How LLMs Fail to Support Fact-Checking
by: Proma, Adiba Mahbub, et al.
Published: (2025)
by: Proma, Adiba Mahbub, et al.
Published: (2025)
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
by: Tang, Liyan, et al.
Published: (2024)
by: Tang, Liyan, et al.
Published: (2024)
Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality
by: Li, Junliang, et al.
Published: (2025)
by: Li, Junliang, et al.
Published: (2025)
InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
by: Bai, Yuzhuo, et al.
Published: (2026)
by: Bai, Yuzhuo, et al.
Published: (2026)
Can LLMs Automate Fact-Checking Article Writing?
by: Sahnan, Dhruv, et al.
Published: (2025)
by: Sahnan, Dhruv, et al.
Published: (2025)
Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
by: Li, Changhao, et al.
Published: (2024)
by: Li, Changhao, et al.
Published: (2024)
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
by: Seo, Wooseok, et al.
Published: (2025)
by: Seo, Wooseok, et al.
Published: (2025)
Are Large Language Models Table-based Fact-Checkers?
by: Zhang, Hanwen, et al.
Published: (2024)
by: Zhang, Hanwen, et al.
Published: (2024)
Cost-Effective Hallucination Detection for LLMs
by: Valentin, Simon, et al.
Published: (2024)
by: Valentin, Simon, et al.
Published: (2024)
Long-Form Information Alignment Evaluation Beyond Atomic Facts
by: Zheng, Danna, et al.
Published: (2025)
by: Zheng, Danna, et al.
Published: (2025)
From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
by: Liew, Yee Zhing, et al.
Published: (2026)
by: Liew, Yee Zhing, et al.
Published: (2026)
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking
by: Zhang, Jiawei, et al.
Published: (2024)
by: Zhang, Jiawei, et al.
Published: (2024)
In-Context Explainers: Harnessing LLMs for Explaining Black Box Models
by: Kroeger, Nicholas, et al.
Published: (2023)
by: Kroeger, Nicholas, et al.
Published: (2023)
MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
by: Jeong, Soyeong, et al.
Published: (2025)
by: Jeong, Soyeong, et al.
Published: (2025)
FIRE: Fact-checking with Iterative Retrieval and Verification
by: Xie, Zhuohan, et al.
Published: (2024)
by: Xie, Zhuohan, et al.
Published: (2024)
CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
by: Putta, Akshith Reddy, et al.
Published: (2026)
by: Putta, Akshith Reddy, et al.
Published: (2026)
Training Deliberative Monitors for Black-Box Scheming Detection
by: Sinha, Aditya, et al.
Published: (2026)
by: Sinha, Aditya, et al.
Published: (2026)
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
by: Ko, Sungho, et al.
Published: (2024)
by: Ko, Sungho, et al.
Published: (2024)
HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
by: Qudus, Umair, et al.
Published: (2024)
by: Qudus, Umair, et al.
Published: (2024)
Scalable Token-Level Hallucination Detection in Large Language Models
by: Min, Rui, et al.
Published: (2026)
by: Min, Rui, et al.
Published: (2026)
How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models
by: Asawa, Parth, et al.
Published: (2025)
by: Asawa, Parth, et al.
Published: (2025)
Similar Items
-
Hallucination Detection in LLMs Using Spectral Features of Attention Maps
by: Binkowski, Jakub, et al.
Published: (2025) -
The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
by: Janiak, Denis, et al.
Published: (2025) -
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024) -
A Geometry-Based View of Mahalanobis OOD Detection
by: Janiak, Denis, et al.
Published: (2025) -
Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
by: Binkowski, Jakub, et al.
Published: (2026)