Large vision and language assistants have enabled new capabilities for interpreting natural
images. These approaches have recently been adapted to earth observation data, but they …

Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in
processing both visual and textual information. However, the critical challenge of alignment …

Despite the recent breakthroughs achieved by Large Vision Language Models (LVLMs) in
understanding and responding to complex visual-textual contexts, their inherent …

Recent advances in Large Vision-Language Models (LVLMs) have showcased strong
reasoning abilities across multiple modalities, achieving significant breakthroughs in various …

Vision Large Language Models (VLLMs) are widely acknowledged to be prone to
hallucination. Existing research addressing this problem has primarily been confined to …

Multimodal large language models (MLLMs) excel at multimodal perception and
understanding, yet their tendency to generate hallucinated or inaccurate responses …