The recent GPT-4 has demonstrated extraordinary multi-modal abilities, such as directly
generating websites from handwritten text and identifying humorous elements within …

Recent vision-language (VL) studies have shown remarkable progress by learning generic
representations from massive image-text pairs with transformer models and then fine-tuning …

Vision language models (VLMs) have experienced rapid advancements through the
integration of large language models (LLMs) with image-text pairs yet they struggle with …

How to efficiently transform large language models (LLMs) into instruction followers is
recently a popular research direction, while training LLM for multi-modal reasoning remains …

Recently, there has been an increasing number of efforts to introduce models capable of
generating natural language explanations (NLEs) for their predictions on vision-language …

Recent advancements in text-to-image (T2I) and vision-language-to-image (VL2I)
generation have made significant strides. However, the generation from generalized vision …

Many high-level skills that are required for computer vision tasks, such as parsing questions,
comparing and contrasting semantics, and writing descriptions, are also required in other …

Recent advancements in Large Vision-Language Models (LVLMs) have enabled processing
of multimodal inputs in language models but require significant computational resources for …

The advent of vision-language pre-training techniques enhanced substantial progress in the
development of models for image captioning. However, these models frequently produce …

Asking insightful questions is crucial for acquiring knowledge and expanding our
understanding of the world. However, the importance of questioning has been largely …