Resume Job

Resume processing is rapidly evolving, driven by the need for efficient and unbiased candidate selection in online recruitment. Current research focuses on leveraging large language models (LLMs) and graph neural networks (GNNs) to improve resume classification, job matching, and candidate ranking, often incorporating techniques like contrastive learning and data augmentation to address data sparsity and bias. These advancements aim to enhance the accuracy and fairness of automated hiring processes, impacting both the efficiency of recruitment and the equity of employment opportunities.