CURRENT STATUS AND TRENDS IN LARGE LANGUAGE MODELING RESEARCH

Current status and trends in large language modeling research

Over the past two decades, language modeling (LM) has emerged as a primary methodology for language understanding and generation.This technology has become a cornerstone within the field of natural language processing (NLP).At its core, LM is designed to train models to predict the probability of the next word or token, thereby generating natural a

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Differences Between Health Workers and General Population in Risk Perception, Behaviors, and Psychological Distress Related to COVID-19 Spread in Italy

In this study, we investigated the perception of risk and the worries about COVID-19 infection in both healthcare workers and the general population in Italy.We studied the difference in risk perception in these two groups and how this related to demographic variables and psychological factors such as stress, anxiety, and death anxiety.To this aim,

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Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias

Near-surface temperatures, such as air, land surface, and soil temperatures, play significant roles in surface radiation and energy balance.This study assessed nine gridded near-surface digiweigh digital pocket scale temperature products and analyzed the spatial heterogeneity and clear-sky bias of these temperature variables, using extensive measur

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