Papers by Stefanus Jasin

1 papers
Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings (2026.findings-acl)

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Challenge: Large language models (LLMs) are increasingly used to screen and rank job applicants . a recent study shows that prompt injection can improve ranking when résumé quality is homogeneous .
Approach: They study whether prompt injection distorts quality-based candidate selection . they find that it improves rankings when résumé quality is homogeneous .
Outcome: The proposed model improves rankings when résumé quality is homogeneous and few candidates inject.

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