Papers by Weston Beck

1 papers
Human and LLM-Based Resume Matching: An Observational Study (2025.findings-naacl)

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Challenge: Resume matching assesses the extent to which candidates qualify for jobs based on the content of resumes.
Approach: They compare GPT-4 and human ratings for resumes submitted to job openings from diverse fields using real-world evaluation criteria.
Outcome: The proposed model improves the quality of LLM ratings and does not show bias.

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