{
  "id": 599,
  "url": "https://arxiv.org/abs/2606.26346v1",
  "title": "How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?",
  "summary": "Agentic benchmarks have emerged across general-purpose and domain-specific settings, including finance, coding, law, and drug discovery, yet energy-domain evaluations remain largely limited to static knowledge recall. This is a critical gap for a sector that requires live data retrieval, specialized regulatory and market knowledge, and multi-step quantitative reasoning under real-world constraints. We present an empirical study of tool-augmented LLM agents on real-world energy market analytics t",
  "authors": "David Akinpelu, Akintonde Abbas, Rereloluwa Alimi, Ayodeji Lana",
  "category": "research",
  "topics": "regulation,healthcare,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-24T19:38:21.000Z",
  "fetched_at": "2026-07-14T14:14:37.250Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/599",
  "original_url": "https://arxiv.org/abs/2606.26346v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}