As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...
This study uses keyword filtering, a transformer-based algorithm, and inductive content coding to identify and characterize cannabis adverse experiences as discussed on the social media platform ...
The catch rule has become a problem for the NFL, all over again. And it could (if not should) become a topic for discussion in the looming offseason conversations regarding potential tweaks to the ...
Abstract: Topic modeling is an effective way to gain insight into large amounts of data. Some of the most widely used topic models are Latent Dirichlet allocation (LDA) and Nonnegative Matrix ...
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Abstract: This study compares the performance of two topic modeling techniques, Latent Dirichlet Allocation (LDA) and BERTopic, in analyzing short, unstructured traffic complaint texts from Twitter.
Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...
Why are young conservatives so radicalized? Why is there such a stark generation gap, something you hear about any time you talk to any Republican of any prominence, between the basically optimistic ...
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