Latest AI and machine learning research in schizophrenia for healthcare professionals.
Accurately detecting and localizing hallucinations is a critical task for ensuring high reliability ...
Metal artifacts from high-attenuation implants severely degrade CT image quality, obscuring critical...
Large vision-language models can produce object hallucinations in image descriptions, highlighting t...
Vision-Language Models (VLMs) excel at multimodal tasks, but they remain vulnerable to hallucination...
As vision-language models (VLMs) are increasingly deployed in clinical decision support, more than a...
Transfer learning (TL) and deep ensemble learning (DE) have recently been shown to outperform simple...
Purpose: Manual verification of AI-based auto-contouring is labor-intensive and prone to fatigue-rel...
The deployment of large language models (LLMs) for science carries an intrinsic risk: hallucination ...
Accurate prediction of drug-target binding affinity across multiple pharmacological endpoints remain...
Self-supervised Vision Transformers (ViTs) like DINO show an emergent ability to discover objects, t...
Recent work has questioned whether large language models (LLMs) can perform genuine in-context learn...
Accurate uncertainty quantification is crucial for making reliable decisions in various supervised l...
Large vision-language models (LVLMs) tend to hallucinate, especially when visual inputs are corrupte...
Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captu...
Object hallucination in Large Vision-Language Models (LVLMs) severely compromises their reliability ...
Vision-language models (VLMs) adapted to the medical domain have shown strong performance on visual ...
Artistic font generation aims to synthesize stylized glyphs based on a reference style. However, exi...
Multimodal Large Language Models (MLLMs) suffer from hallucinations. Existing hallucination evaluati...
Background: Conversational AI safety systems are primarily evaluated using message-level content mon...
When VLMs answer correctly, do they genuinely rely on visual information or exploit language shortcu...
Visual-Language Models (VLMs) have achieved remarkable progress in image captioning, visual question...