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Open access Sep 2026

LLM-Supported Hybrid Reranking Architecture for Candidate-Job Matching in Recruitment Processes

This study proposes a hybrid architecture that integrates vector-based semantic search with data validation steps and delivers the final decision through a large language model-based reranking module to overcome problems with traditional applicant tracking systems and pure large language model methods.

Mihriban Dursun, Berat Doğan, H. Canlı · 0 citations

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