Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …

Abstract Knowledge-based Visual Question Answering (KB-VQA) requires VQA systems to
utilize knowledge from external knowledge bases to answer visually-grounded questions …

In this paper, we delve into the innovative application of large language models (LLMs) and
their extension, large vision-language models (LVLMs), in the field of remote sensing (RS) …

Visual understanding is a research area that bridges the gap between computer vision and
natural language processing. Image captioning is a visual understanding task in which …

Unmanned Aerial Vehicles (UAVs) are able to provide instantaneous visual cues and a high-
level data throughput that could be further leveraged to address complex tasks, such as …

The increasing complexity of Multi-Agent Systems (MASs), coupled with the emergence of
Artificial Intelligence (AI) and Large Language Models (LLMs), have highlighted significant …

Annotation tools are an essential component in the creation of datasets for machine learning
purposes. Annotation tools have evolved greatly since the turn of the century, and now …

Recent advancements in Natural Language Processing (NLP), particularly in Large
Language Models (LLMs), associated with deep learning-based computer vision …

This paper presents an exploration into the capabilities of an adaptive PID controller within
the realm of truck platooning operations, situating the inquiry within the context of Cognitive …

In this paper, we introduce an innovative approach to handling the multi-armed bandit (MAB)
problem in non-stationary environments, harnessing the predictive power of large language …