Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker

ArXi:2511.07969v2 Announce Type: replace Applications in labor market intelligence demand specialized NLP systems for a wide range of tasks, characterized by extreme multi-label target spaces, strict latency constraints, and multiple text modalities such as skills and job titles. These constraints have led to isolated, task-specific developments in the field, with models and benchmarks focused on single prediction tasks.