Abstract: This computational paper has employed a two-stage lexical analysis pipeline malicious URL detection pipeline, which removes heterogeneous features through regular expression tokenization ...
The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...
You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
Unlike in integer literals, leading zeros are allowed in the numeric parts. For example, 077.010 is legal, and denotes the same number as 77.10. The leading zero on the fractional part is significant ...
This study compares AI-generated texts (via ChatGPT) and student-written essays in terms of lexical diversity, syntactic complexity, and readability. Grounded in Communication Theory—especially ...
In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By combining ...
If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
ABSTRACT: Most studies on the relationship between lexical sophistication and writing quality operationalize lexical sophistication as distributional property of words and focus on argumentative ...
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