Abstract: Detecting fake news is essential for maintaining the integrity of information online. This project employs BERT, a natural language processing technique, to accurately classify news articles ...

Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...

The blockchain industry is often explained in layers, with each layer serving a unique role in enabling decentralized finance, cryptocurrencies, and other use cases. Most people are familiar with ...

Introduction: Predicting interactions between microRNAs (miRNAs) and competing endogenous RNAs (ceRNAs), including long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), is essential for ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

.custom_fonts .custom-google-fonts-enabled h2, <meta name="description" content="GeThe rise of transformer models like BERT has revolutionized natural language ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...