新闻
False Reassurance in LLM Severe-Weather Guidance: A Replayable Evaluation Against Real NWS Alerts
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers found that LLMs without access to weather alerts give false reassurance, telling users conditions are calm during active severe-weather warnings.
- 为何重要
- Matters for engineers building weather-guidance systems or any LLM application where incomplete information could cause user harm.
- 注意
- Access to real alerts alone does not guarantee safe behavior; prompt design and system architecture critically shape whether the model misleads users.
- llm
- prompt
- eval
- claude
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- Proactive Clarification & Active Disambiguation
- Eval-Driven Development (Agent CI)
- Agentic Context Engineering (Evolving Playbook)
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