Constraint-Aware Conversational Job Recommendation in Code-Mixed Low-Resource Settings
Conversational job recommendation requires jointly modeling semantic relevance, user preferences, eligibility requirements, and the noisy language used in real-world career discussions. These challenges are especially pronounced in low-resource, code-mixed settings, where strict constraint matching can incorrectly elim...