This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they ...

Electrica signature analysis (ESA) uses the magnetic field in the air gap of an electrical machine to evaluate power quality conditions. Dry and oil transofrmer types are subject to problems ...

Official implementation of Transformer Interpretability Beyond Attention Visualization. We introduce a novel method which allows to visualize classifications made by a Transformer based model for both ...

Text Blaze is a digital tool designed to make life easier by saving time. While this was built for business, it's also tailored to use in education with a plan to save teachers on admin task time so ...

You’ve heard the maxim, “Trust, but verify.” That’s a contradiction—if you need to verify something, you don’t truly trust it. And if you can verify it, you probably don’t need trust at all! While ...

Currently, QuickFactChecker uses classical ML models (Naive Bayes, Logistic Regression, Random Forest) with TF-IDF features to detect fake news. While functional, these models have limited context ...

Abstract: With the rise of AI-generated text, the need for efficient detectors that perform well on various kinds of text generated by different models and prompts is increasing. We trained and ...