Multiview Job–Resume Matching With Contrastive Learning and LLM-Based Paraphrase Augmentation

Job–resume matching is essential for scalable recruitment, yet remains challenging due to lexical ambiguity, structural heterogeneity, and limited labeled data. We propose a dual-encoder framework trained with multiview contrastive learning and enhanced with hard-negative supervision to impro...

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Podrobná bibliografie

Hlavní autoři:	Helena Ceovic, Klemo Vladimir, Goran Delac, Marin Silic
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Contrastive learning dual encoders information retrieval job–resume matching multiview learning paraphrase augmentation
On-line přístup:	https://ieeexplore.ieee.org/document/11593796/
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