# Human-AI-Powered Hypothesis Testing: Cost-Aware Selective AI Scoring and Sequential Human Escalation

> 全文为英语

**Published:** 2026年9月25日
**Author:** Dae Woong (David),  Ham, Xuejun Zhao, Stefanus Jasin, Fenghua Yang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/human-ai-powered-hypothesis-testing-cost-aware-selective-ai-scoring-and-

arXiv:2609.28859v1 Announce Type: new Abstract: Large language models are increasingly used as inexpensive judges to evaluate outputs, label data, and assess whether a system meets a desired quality standard. Yet using AI judgments for formal statistical inference is…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.28859)

**标签：** #arXiv

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