{
  "id": 16828119,
  "title": "RubricAtlas: Mining Type-Level Rubrics from Expert Reports to Evaluate Deep Research Agents",
  "url": "https://urgent.news/2026/10/27/rubricatlas-mining-type-level-rubrics-from-expert-reports-to-evaluate",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-27T09:18:00.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.36878v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Deep research agents conduct multi-step Web searches and synthesise retrieved information into analytical reports. Evaluating these outputs requires checking which analyses they deliver, beyond the presence of relevant facts. Query-specific binary rubrics make individual requirements explicit, but task-level checklists may leave the overall analytical structure underexamined. We introduce…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}