  Requirements Engineering (RE) is a critical phase in software development
including the elicitation, analysis, specification, and validation of software
requirements. Despite the importance of RE, it remains a challenging process
due to the complexities of communication, uncertainty in the early stages and
inadequate automation support. In recent years, large-language models (LLMs)
have shown significant promise in diverse domains, including natural language
processing, code generation, and program understanding. This chapter explores
the potential of LLMs in driving RE processes, aiming to improve the efficiency
and accuracy of requirements-related tasks. We propose key directions and SWOT
analysis for research and development in using LLMs for RE, focusing on the
potential for requirements elicitation, analysis, specification, and
validation. We further present the results from a preliminary evaluation, in
this context.
