Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

The field of data visualisation has long aimed to devise solutions for generating
visualisations directly from natural language text. Research in Natural Language Interfaces …

Abstract Retrieval Augment Generation (RAG) is a recent advancement in Open-Domain
Question Answering (ODQA). RAG has only been trained and explored with a Wikipedia …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Recent work has demonstrated that increased training dataset diversity improves general
cross-domain knowledge and downstream generalization capability for large-scale …

Producing quality segmentation masks for images is a fundamental problem in computer
vision. Recent research has explored large-scale supervised training to enable zero-shot …

Generative text-to-image models have gained great popularity among the public for their
powerful capability to generate high-quality images based on natural language prompts …

Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …

Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …