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cs.CL2025★ 2 cited
How Effective are Generative Large Language Models in Performing Requirements Classification?
Waad Alhoshan, Alessio Ferrari, Liping Zhao
In recent years, transformer-based large language models (LLMs) have revolutionised natural language processing (NLP), with generative models opening new possibilities for tasks th…
cs.CL2022★ 11 cited
Classification of Natural Language Processing Techniques for Requirements Engineering
Liping Zhao, Waad Alhoshan, Alessio Ferrari +1
Research in applying natural language processing (NLP) techniques to requirements engineering (RE) tasks spans more than 40 years, from initial efforts carried out in the 1980s to…