3 accepted papers
Large Vision-Language Models (LVLMs) have shown strong performance across various multimodal tasks by leveraging the reasoning capabilities of Large Language Models (LLMs). However, processing visually complex and information-rich images, such as infographics or document layouts, requires these mode
Recent advances in large language models (LLMs) have led to the emergence of specialized multimodal LLMs (MLLMs), forming distinct model families that share a common foundation language models. Despite this evolutionary trend, it remains unexplored whether a fundamental behavioral link exists betwee…
Large Vision-Language Models (LVLMs) have recently shown promising results on various multimodal tasks, even achieving human-comparable performance in certain cases. Nevertheless, LVLMs remain prone to hallucinations–they often rely heavily on a single modality or memorize training data without prop