LLM-Supported Hybrid Reranking Architecture for Candidate-Job Matching in Recruitment Processes
Traditional applicant tracking systems miss candidates' potential due to their keyword-based structures, while pure large language model approaches carry high costs and hallucination risks. This study proposes a hybrid architecture that integrates vector-based semantic search with data validation steps and delivers the...