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hallucination detection

530 papers

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Co-occurring keywords

large language model (13587) retrieval-augmented generation (1592) text generation (2913) text classification (6793) uncertainty quantification (1393) natural language inference (1287) language model (4599) question answering (2963) benchmark evaluation (1556) fact verification (257)

Papers

HalluRAG-RUG at SemEval-2025 Task 3: Using Retrieval-Augmented Generation for Hallucination Detection in Model Outputs ACL 2025
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA EMNLP 2025
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025
FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs EMNLP 2025
Trust Me, I’m Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer EMNLP 2025
Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts EMNLP 2025
Hallucination Detection in Structured Query Generation via LLM Self-Debating EMNLP 2025
Simple Factuality Probes Detect Hallucinations in Long-Form Natural Language Generation EMNLP 2025
Just One is Enough: An Existence-based Alignment Check for Robust Japanese Pronunciation Estimation EMNLP 2025
Advacheck at SemEval-2025 Task 3: Combining NER and RAG to Spot Hallucinations in LLM Answers ACL 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025
AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection ACL 2025
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis EMNLP 2025
Where Confabulation Lives: Latent Feature Discovery in LLMs EMNLP 2025
HalLoc: Token-level Localization of Hallucinations for Vision Language Models CVPR 2025
LCTeam at SemEval-2025 Task 3: Multilingual Detection of Hallucinations and Overgeneration Mistakes Using XLM-RoBERTa ACL 2025
SciHallu: A Multi-Granularity Hallucination Detection Dataset for Scientific Writing AACL 2025
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics AACL 2025
RaggedyFive at SemEval-2025 Task 3: Hallucination Span Detection Using Unverifiable Answer Detection ACL 2025
FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes ACL 2025
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service NAACL 2025
HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection ACL 2025
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation NAACL 2025
Swushroomsia at SemEval-2025 Task 3: Probing LLMs’ Collective Intelligence for Multilingual Hallucination Detection ACL 2025
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling AAAI 2025