LLMs consistently prefer resumes they generated over human-written or competitor-model-generated ones, with 67–82% self-preference bias. Large-scale controlled experiments across 24 occupations show candidates using matching models gain 23–60% hiring advantage. The bias persists across quality-controlled content and can be reduced over 50% through targeted interventions.
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LLMs consistently pick resumes they generate over ones by humans or other models
LLMs exhibit 67-82% self-preference bias when evaluating resumes, giving candidates a 23-60% hiring advantage when using the matching model's outputs across 24 occupations.
Saturday, May 2, 2026 12:00 PM UTC2 MIN READSOURCE: Hacker NewsBY sys://pipeline
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