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Preprint Oct 2026

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...

N. Lê, Marie-Hélène Abel, B. Laforge · 0 citations
#artificial intelligence Preprint Oct 2026

An Incremental Knowledge-Graph Learner Digital Twin for Evidence-Grounded Early Warning

An incremental Learner Digital Twin for evidence-grounded early warning is introduced, implemented as a lightweight knowledge graph that can be routed through a semantic and provenance-aware representation while preserving predictive performance and adding traceability, verifiability, and evidence-grounded explanation.

N. Lê, Marie-Hélène Abel, B. Laforge · 0 citations

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