Abstract: This study addresses a limitation in Retrieval-Augmented Generation (RAG) systems: poor retrieval accuracy when vague prompts or metadata are missing. We propose the Two-Step RAG method to ...
Abstract: In this paper, the data of CPI, money supply and total social retail goods from December 2019 to September 2020 are taken as samples, and the multivariate linear regression method is used to ...
Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Across the literature, multivariable models for predicting giant cell arteritis diagnoses showed various methodological weaknesses. Multivariable models can aid in the diagnosis of giant cell ...
context: Simulation for statistical power and sample size computation for regression (linear, GLM, discrete,...) when regressors are random and correlated. For each simulation run we also need random ...
The verdict is in: OpenAI’s newest and most capable traditional AI model, GPT-4.5, is big, expensive, and slow, providing marginally better performance than GPT-4o at 30x the cost for input and 15x ...
Please provide your email address to receive an email when new articles are posted on . Season of birth appeared associated with significant influence on human milk microbiome composition. Milk ...
The genotype x environment interaction is frequently observed in many crops and studies on environmental stratification and genotype adaptability have been proposed to understand it. The aim of this ...
Automakers around the world are faced with an unprecedented production challenge. They’re scrambling to operate flexible assembly lines that can produce both gas- and battery-powered vehicles ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback