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Found 3 papers, 1 papers with code
Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks
We meticulously craft this benchmark to cater to a wide array of HR tasks, including matching and explaining resumes to job descriptions, extracting skills and experiences from resumes, and editing resumes.
Flexible Job Classification with Zero-Shot Learning
Using a taxonomy to organize information requires classifying objects (documents, images, etc) with appropriate taxonomic classes.
Large-scale Collaborative Filtering with Product Embeddings
The application of machine learning techniques to large-scale personalized recommendation problems is a challenging task.
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