hallucination detection

A Knowledge Graph Based Diagnostic Framework for Analyzing Hallucinations in Arabic Machine Reading Comprehension EACL 2026 Attribution-Guided Multi-Object Hallucination and Bias Detection in Vision-Language Models EACL 2026 Benchmarking Deflection and Hallucination in Large Vision-Language Models ACL 2026 Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions AAAI 2026 Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations CVPR 2026 Bolster Hallucination Detection via Prompt-Guided Data Augmentation AAAI 2026 Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026 CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning CVPR 2026 CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation AAAI 2026 Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness Labels EACL 2026 DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness EACL 2026 Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals ACL 2026 Diffusion for Combating the Hallucination in Large Language Models (Student Abstract) AAAI 2026 Do LLM hallucination detectors suffer from low-resource effect? EACL 2026 Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration AAAI 2026 Evaluating the Factuality of Large Language Models Using Multiple Plug-and-Play Fact Sources AAAI 2026 EVE: A Domain-Specific LLM Framework for Earth Intelligence ACL 2026 Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026 Evolutionary Search for Automated Design of Uncertainty Quantification Methods ACL 2026 Exposing and Evaluating Hallucinations for GUI Grounding CVPR 2026 FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs EACL 2026 From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis AAAI 2026 GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark WACV 2026 Global-Local Confidence Fusion for Hallucination Detection in Mathematical Reasoning Task AAAI 2026 HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy ACL 2026