Latest AI and machine learning research in schizophrenia for healthcare professionals.
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 ...
Multimodal Large Language Models (MLLMs) suffer from hallucinations. Existing hallucination evaluati...
Background: Conversational AI safety systems are primarily evaluated using message-level content mon...
Rapid behavioral adaptation requires the brain to solve a fundamental computational dilemma: how to ...
Multimodal large language models (MLLMs) struggle with hallucinations, particularly with fine-graine...
Large vision-language models (LVLMs) have become increasingly strong but remain prone to hallucinati...
Objective. We establish a principled method for inferring mental health related psychometric variabl...
Hallucination detection in captions (HalDec) assesses a vision-language model's ability to correctly...
Current training-free methods tackle MLLM hallucination with separate strategies: either enhancing v...
While large vision-language models (LVLMs) achieve strong performance on multimodal tasks, they freq...
Maintaining background consistency while enhancing foreground quality remains a core challenge in vi...
Hallucination has been a significant impediment to the development and application of current Large ...
Deep learning (DL) methods are currently being explored to restore images from sparse-view-, limited...
Animals integrate information over time and maintain persistent internal representations of cues to ...
A system that enables blind or visually impaired users to access comics/manga would introduce a new ...
Large Vision-Language Models (LVLMs) have adopted visual token pruning strategies to mitigate substa...
Automated radiology report generation using vision-language models (VLMs) is limited by the risk of ...
Psychiatric disorders are fundamentally challenged by symptom heterogeneity, high comorbidity, and t...