新闻
Provable Limits and Certified Deferral for Verbalized Uncertainty in Small Language Models
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Research proves small language models cannot reliably defer to humans using verbalized confidence alone, even with calibration techniques.
- 为何重要
- Engineers deploying small models offline or in cost-sensitive settings need to know when deferral to humans is mathematically safe.
- 注意
- Only three of twenty-two model-task pairs achieved certified safe autonomy at twenty percent risk; results assume independent and identically distributed deployment.
- language model
- rag
- eval
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- Uncertainty Quantification
- Eval-Driven Development (Agent CI)
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