Supertagging is an essential task in Categorical grammar parsing and is crucial for dissecting sentence structures. Our research explores the capacity of Large Language Models (LLMs) in supertagging for both Combinato...
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Supply chain management involves overseeing the entire process, from raw materials to finished products, ensuring efficient and effective delivery to customers. Somehow, it is entangled with a lot of issues, like chal...
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Recognition of human actions from videos is a valuable application for building management, security systems, accident prevention, accident intervention and several other applications. This study provides a framework ...
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This research investigates the quality of user prompts in Large Language Models (LLMs), such as Chat-GPT, focusing on the impact of user experience and prompt characteristics on model performance. For this research, w...
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As production estimates become increasingly accurate, artificial intelligence (AI) has proven to be a promising tool for helping farmers streamline their operations and improve sustainability. However, because of the ...
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The structure learning problem consists of fitting data generated by a Directed Acyclic Graph (DAG) to correctly reconstruct its arcs. In this context, differentiable approaches constrain or regularize an optimization...
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Machine learning from multivariate time series is a common task, and countless different approaches to typical learning problems have been proposed in recent years. In this talk, we review some basic ideas towards log...
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In recent studies, Large Language Models (LLMs) have shown remarkable effectiveness in a wide range of natural language processing tasks. However, their knowledge is limited to the data they were trained on, which may...
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Cloud computing and blockchain technology are the two transformative technologies that have created significantly impact in various industries. Cloud computing has revolutionized the way resources and services are del...
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The integration of artificial intelligence (AI) and machine learning (ML) within the Open Radio Access Network (O-RAN) xApps introduces significant enhancements to network automation and anomaly detection. However, th...
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