Latest AI and machine learning research in schizophrenia for healthcare professionals.
Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transfo...
Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric cond...
While multimodal large language models excel at various tasks, they still suffer from hallucinatio...
Recent advancements in Multimodal Large Language Models (MLLMs) have enabled them to effectively i...
Biomolecular networks, such as protein-protein interactions, gene-gene associations, and cell-cell...
Event Causality Identification (ECI) aims to detect causal relationships between events in textual...
Large Visual Language Models (LVLMs) have demonstrated impressive capabilities across multiple tas...
The expanding domain of digital mental health is transitioning beyond traditional telehealth to inco...
Hallucinations in large language models (LLMs) during summarization of patient-clinician dialogues...
Multimodal hallucination in multimodal large language models (MLLMs) restricts the correctness of ...
Visual hallucinations in Large Language Models (LLMs), where the model generates responses that ar...
Domain-specific instruction-tuning has become the defacto standard for improving the performance o...
Large vision-language models (LVLMs) achieve impressive performance on multimodal tasks but often ...
Despite significant advancements in Large Vision-Language Models, Object Hallucination (OH) remain...
Large Vision-Language Models (LVLMs) with discrete image tokenizers unify multimodal representatio...
Test-time compute has empowered multimodal large language models to generate extended reasoning ch...
Aperiodic neural activity has been the subject of intense research interest lately as it could ref...
Aperiodic neural activity has been the subject of intense research interest lately as it could ref...
Recent advancements in Large Vision-Language Models (LVLMs) have significantly expanded their util...
Despite their remarkable progress in multimodal understanding tasks, large vision language models ...
Large vision-language models (LVLMs) have achieved remarkable performance on multimodal tasks such...