{
  "id": 5524,
  "url": "https://arxiv.org/abs/2604.19984v1",
  "title": "Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring",
  "summary": "Research has documented LLMs' name-based bias in hiring and salary recommendations. In this paper, we instead consider a setting where LLMs generate candidate summaries for downstream assessment. In a large-scale controlled study, we analyze nearly one million resume summaries produced by 4 models under systematic race-gender name perturbations, using synthetic resumes and real-world job postings. By decomposing each summary into resume-grounded factual content and evaluative framing, we find th",
  "authors": "Huy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho, Hal Daume",
  "category": "research",
  "topics": "bias-fairness,jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-21T20:47:21.000Z",
  "fetched_at": "2026-07-14T16:31:48.875Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5524",
  "original_url": "https://arxiv.org/abs/2604.19984v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}