{
  "id": 4229,
  "url": "https://arxiv.org/abs/2605.28848v1",
  "title": "GPF-LiveNews: A Streaming Evaluation Protocol for Group-Conditioned Framing in Large Language Models",
  "summary": "Deployed language models are evaluated in a non-stationary environment: model versions, retrieval layers, safety systems, and real-world inputs all change over time. Static bias benchmarks remain useful, but they do not show how models frame newly emerging events for different prompted audiences. We introduce GPF-LIVENEWS, a streaming evaluation protocol and benchmark snapshot for auditing group-conditioned framing in open-ended LLM outputs. The protocol expands fresh BBC/Reuters news anchors ac",
  "authors": "Mohd Ariful Haque, Fahad Rahman, Kishor Datta Gupta, Roy George",
  "category": "research",
  "topics": "bias-fairness,transparency,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-16T06:32:11.000Z",
  "fetched_at": "2026-07-14T16:30:50.573Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4229",
  "original_url": "https://arxiv.org/abs/2605.28848v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}