{
  "id": 6523631,
  "title": "Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts",
  "url": "https://urgent.news/2026/09/09/agent-based-ml-llm-fusion-with-self-optimizing-prompts-for-plateau",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T13:15:46.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.10135v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "To address insufficient contextualization, weak generalization, and poor scenario adaptation in tourism meteorological services, we propose SmartWeatherAgent--a unified three-stage architecture integrating intent recognition, hazard prediction, and reasoning-enhanced generation. The system fuses rule-based methods with large language models to parse queries at multiple granularities and employs a…",
  "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."
}