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Hallucination

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Showing 1701–1725 of 1816 papers

TitleStatusHype
MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare—0
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient—0
MedHal: An Evaluation Dataset for Medical Hallucination Detection—0
MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models—0
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models—0
MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models—0
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion—0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation—0
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs—0
MetaCheckGPT -- A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models—0
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation—0
Meta-Learning by Hallucinating Useful Examples—0
Enabling Weak LLMs to Judge Response Reliability via Meta Ranking—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Meta-World Conditional Neural Processes—0
Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Study—0
Metric Ensembles For Hallucination Detection—0
Minimizing Factual Inconsistency and Hallucination in Large Language Models—0
MINT: Mitigating Hallucinations in Large Vision-Language Models via Token Reduction—0
MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM—0
Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink—0
Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning—0
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization—0
Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration—0
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