CA-HNM: Constraint-Aware Hard Negative Mining for Dense Retrieval with Structured Domain Models
CA-HNM is introduced, a constraint-aware hard-negative mining framework that combines retrieval-based candidate generation with deterministic incompatibility rules derived from a structured domain model and the results indicate that the contribution of constraint-aware selection depends on the training objective and th...