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Knowledge graphs (KGs) are the foundation of artificial intelligence applications but are incomplete and sparse, affecting their effectiveness. Well-established KGs such as DBpedia...
Multimodal AI agents are designed to process and integrate various data types, such as images, text, and videos, to perform tasks in digital...
Humans possess an innate understanding of physics, expecting objects to behave predictably without abrupt changes in position, shape, or color. This fundamental cognition...
Multimodal Large Language Models (MLLMs) have gained significant attention for their ability to handle complex tasks involving vision, language, and audio integration. However,...
In recent years, language models have been pushed to handle increasingly long contexts. This need has exposed some inherent problems in the standard...
Efficiently handling long contexts has been a longstanding challenge in natural language processing. As large language models expand their capacity to read, comprehend,...
In the realm of artificial intelligence, enabling Large Language Models (LLMs) to navigate and interact with graphical user interfaces (GUIs) has been a...
As artificial intelligence (AI) continues to gain traction across industries, one persistent challenge remains: creating language models that truly understand the diversity of...