Skip to content
Hacker News front page

LLMs Consistently Pick Their Own Resumes Over Human or Other Model Resumes

LLMs consistently pick resumes they generate over ones by humans or other models

An arXiv paper finds LLMs favor resumes they generated in controlled hiring-screening experiments. Self-preference bias ranges from 67% to 82%; across 24 occupations, same-model applicants are 23% to 60% more likely to be shortlisted. The key lever is self-recognition, where simple interventions cut bias by over 50%.

Why it matters: HKR-H/K/R all pass: the hiring-bias hook is sharp, the post gives testable rates and conditions, and fairness in AI screening is a real practitioner nerve. Strong research story, but not a platform release, so it stays in the 78-84 band.

Read the original ↗Export Markdown