This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

Crop management plays a crucial role in determining crop yield economic profitability and
environmental sustainability. Despite the availability of management guidelines optimizing …

Within the evolving landscape of deep learning, the dilemma of data quantity and quality has
been a long-standing problem. The recent advent of Large Language Models (LLMs) offers …

Group decision making plays a crucial role in our complex and interconnected world. The
rise of AI technologies has the potential to provide data-driven insights to facilitate group …

With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …

Constructing test collections in Information Retrieval (IR) is vital for evaluating search
algorithms. Obtaining a diverse set of user queries for test collection construction can be …

The escalating volume and intricacy of legal documents necessitate advanced techniques
for automated text classification in the legal domain. Our proposed approach leverages …

Affect recognition, encompassing emotions, moods, and feelings, plays a pivotal role in
human communication. In the realm of conversational artificial intelligence, the ability to …

Large Language Models (LLMs) have demonstrated good performance in many reasoning
tasks, but they still struggle with some complicated reasoning tasks including logical …

In safety-critical applications where a human is in the loop, providing timely contextual
assistance can reduce the severity of emergencies. While the context can typically be …