Article
Benchmarking State-of-the-Art Transformer Models for Automated Resume Screening in AI-Driven Recruitment
2026-07-27
Abstract excerpt
The increasing number of job applications received by organizations has made manual resume screening a time-consuming and resource-intensive process. Transformer-based language models have emerged as a promising solution for automating recruitment tasks by understanding contextual information and semantic relationships within resumes and job descriptions. This study benchmarks several state-of-the-art transformer...
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Identifiers and source
- Literature Corpus work
- 9e548b33-5b3b-5db6-8458-dc45d7750aa3
- DOI
- 10.20944/preprints202607.1950.v1