Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Far from being neutral and objective, the law often perpetuates existing prejudices – particularly gender stereotypes – which ...
Researchers have developed a novel generative AI model, called Collaborative Competitive Agents (CCA), that significantly ...
Mobile CrowdSensing (MCS) has become a powerful sensing paradigm for information collection recently. As sensing becomes more ...
Cognitive Diagnosis (CD) plays a crucial role in personalized learning by evaluating students' mastery of various concepts. However, current CD ...
Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a crucial task in data ...
The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in ...
Multilingual Large Language Models (MLLMs) have achieved remarkable success in advancing multilingual natural language processing, enabling effective ...
Researchers from Tianjin University have introduced the Emergency Medical Procedures 3D Dataset (EMP3D), a pioneering resource that captures the ...
In recent years, NIBIO has conducted systematic monitoring of the brown bear population in Karasjok municipality in Northern ...
Researchers from Universidad Carlos III de Madrid (UC3M), the National Center for Cardiovascular Research (CNIC), and Yale ...
Worldwide, it ranks among the cities with the highest levels of air pollution – and it’s located in the heart of Europe: ...
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