Multimodal Large Language Models (MLLMs) have gained significant attention recently,
showing remarkable potential in artificial general intelligence. However, assessing the utility …

While GPT-4V (ision) impressively models both visual and textual information
simultaneously, it's hallucination behavior has not been systematically assessed. To bridge …

Despite making significant progress in multi-modal tasks, current Multi-modal Large
Language Models (MLLMs) encounter the significant challenge of hallucination, which may …

Bioinformatics has undergone a paradigm shift in artificial intelligence (AI), particularly
through foundation models (FMs), which address longstanding challenges in bioinformatics …

Multimodal large language models (MLLMs) have shown remarkable capabilities across a
broad range of tasks but their knowledge and abilities in the geographic and geospatial …

Recent research has offered insights into the extraordinary capabilities of Large Multimodal
Models (LMMs) in various general vision and language tasks. There is growing interest in …

Large multimodal models (LMMs) have evolved from large language models (LLMs) to
integrate multiple input modalities such as visual inputs. This integration augments the …

Scoring student-drawn models is time-consuming. Recently released GPT-4V provides a
unique opportunity to advance scientific modeling practices by leveraging the powerful …

This work evaluates GPT-4V's multimodal capability for medical image analysis, focusing on
three representative tasks radiology report generation, medical visual question answering …

State-of-the-art Large Multi-Modal Models (LMMs) have demonstrated exceptional
capabilities in vision-language tasks. Despite their advanced functionalities, the …