The rapid development of Artificial Intelligence (AI) has revolutionized numerous fields, with
large language models (LLMs) and computer vision (CV) systems driving advancements in …

The rise of Multimodal Large Language Models (MLLMs) has become a transformative force
in the field of artificial intelligence, enabling machines to process and generate content …

Large-scale vision-and-language models, such as CLIP, are typically trained on web-scale
data, which can introduce inappropriate content and lead to the development of unsafe and …

Effectively aligning with human judgment when evaluating machine-generated image
captions represents a complex yet intriguing challenge. Existing evaluation metrics like …

Multimodal LLMs are the natural evolution of LLMs and enlarge their capabilities so as to
work beyond the pure textual modality. As research is being carried out to design novel …

The rapid development of large language models (LLMs) has been witnessed in recent
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …

Foundation models (FMs) are increasingly spearheading recent advances on a variety of
tasks that fall under the purview of computer audition--the use of machines to understand …

The conventional training approach for image captioning involves pre-training a network
using teacher forcing and subsequent fine-tuning with Self-Critical Sequence Training to …

The task of image captioning demands an algorithm to generate natural language
descriptions of visual inputs. Recent advancements have seen a convergence between …

Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …