Recruitment Domain

Recruitment domain research focuses on leveraging artificial intelligence, particularly large language models (LLMs), to automate and improve various aspects of the hiring process. Current efforts concentrate on developing models for tasks such as resume screening, candidate matching, and interview simulation, often employing Siamese networks and other deep learning architectures to analyze textual data and identify semantic similarities between job descriptions and candidate profiles. These advancements aim to increase efficiency, reduce bias, and improve the overall quality of candidate selection, impacting both the speed and effectiveness of recruitment in various sectors.