hallucination detection

Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026 ReFL: Reflective Feedback Learning for Hallucination Detection of Large Language Models ACL 2026 Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights ACL 2026 Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity EACL 2026 RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models ACL 2026 RiddleBench: A New Generative Reasoning Benchmark for LLMs EACL 2026 RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection ACL 2026 Same Attention, Different Truths: Put Logit-Lens over Visual Attention to Detect and Mitigate LVLM Object Hallucination CVPR 2026 Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding AAAI 2026 Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs AAAI 2026 Teach AI What It Doesn’t Know AAAI 2026 The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness ACL 2026 The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods EACL 2026 TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG ACL 2026 TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection CVPR 2026 Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations ACL 2026 UQLM: A Python Package for Uncertainty Quantification in Large Language Models JMLR 2026 Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models AAAI 2026 VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck ACL 2026 VISTA: Verification In Sequential Turn-based Assessment ACL 2026 What About the Scene With the Hitler Reference? HAUNT: A Framework to Probe LLMs’ Self-consistency in Closed Domains Via Adversarial Nudge ACL 2026 Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations ACL 2026 ZINA: Multimodal Fine-grained Hallucination Detection and Editing CVPR 2026 Advacheck at SemEval-2025 Task 3: Combining NER and RAG to Spot Hallucinations in LLM Answers SemEval 2025 AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation EMNLP 2025