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Natural Language Processing
Research Group in Computer Science & IT
 
R-GPT SUMMARY
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Synthline: A Product Line Approach for Synthetic Requirements Engineering Data G ...
Posted by Mark Field in Computer Science & IT and Natural Language Processing

Software Engineering

Artificial Intelligence

While modern Requirements Engineering (RE) heavily relies on natural language processing and Machine Learning (ML) techniques, their effectiveness is limited by the scarcity of high-quality ....
Should AI Mimic People' Understanding AI-Supported Writing Technology Among Blac ...
Posted by Mark Field in Computer Science & IT and Natural Language Processing
AI-supported writing technologies (AISWT) that provide grammatical suggestions, autocomplete sentences, or generate and rewrite text are now a regular feature integrated into many people's w....
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for ...
Posted by Mark Field in Computer Science & IT and Natural Language Processing

Machine Learning

Artificial Intelligence

Distributed, Parallel, and Cluster Computing

Recently, large language models (LLMs) have achieved remarkable breakthroughs, revolutionizing the natural language processing domain and beyond. Due to immense parameter sizes, fine-tuning ....
Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language ...
Posted by Mark Field in Computer Science & IT and Natural Language Processing

Cryptography and Security

Artificial Intelligence

Machine Learning

Email spam detection is a critical task in modern communication systems, essential for maintaining productivity, security, and user experience. Traditional machine learning and deep learning....