{
  "id": 4777361,
  "title": "Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents",
  "url": "https://urgent.news/2026/08/31/learning-to-evaluate-before-improving-automatic-rubric-induction-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T16:48:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.31076v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Autonomous scientific research agents are increasingly applied to end-to-end scientific workflows, including literature review, data analysis, experimentation, and report generation. However, open-ended research tasks often do not clearly specify the analyses, methods, and success criteria required to complete the task. As a result, agents may miss important analyses, use inappropriate methods,…",
  "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."
}