Deja Vu
Déjà vu, the unsettling feeling of experiencing a situation as if it has already happened, is a phenomenon currently being investigated through various computational lenses. Research focuses on leveraging large language models and other deep learning architectures to analyze historical data for parallels with current events, improve the efficiency of these models through techniques like contextual sparsity, and enhance image processing and prediction tasks by incorporating generative models. These computational approaches aim to better understand the underlying mechanisms of déjà vu-like experiences and offer practical applications in fields ranging from social science analysis to improved AI performance.
Papers
June 21, 2024
March 25, 2024
October 26, 2023
March 2, 2023