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Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Explores variable selection through filtering and correlation methods in machine learning, emphasizing relevance quantification and relationship measurement with the label.
Explores corals as proxies for past climate, focusing on their geochemical variables and precision, using microanalytical tools and evaluating trace-element chemistry differences.
