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Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers evaluated nine tabular foundation models on out-of-distribution data and found all degrade systematically under distribution shifts, with performance gaps ranging from 0.003 to 0.060.
- 为何重要
- Engineers deploying tabular models in high-stakes domains where data distribution may shift over time, such as lending, voting, or health applications.
- 注意
- Study used only three real-world datasets and identified a scalability gap where high-performing models demand significant memory and computational resources beyond standard deployment infrastructure.
收听本摘要
- foundation model
- eval
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