Author

N. Lê

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Preprint Oct 2026

CA-HNM: Constraint-Aware Hard Negative Mining for Dense Retrieval with Structured Domain Models

Dense retrievers are commonly trained with hard negatives selected from lexical or dense retrieval results. Retrieval proximity, however, does not indicate whether a candidate conflicts with explicit domain structure. We introduce CA-HNM, a constraint-aware hard-negative mining framework that combines retrieval-based c...

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