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Jingang QU

2 accepted papers

2026

TabICooL: A better, faster, scalable, and open tabular foundation model

ICML 2026poster

Tabular foundation models, such as TabPFNv2 and TabICL, have recently dethroned gradient-boosted trees at the top of predictive benchmarks, demonstrating the value of in-context learning for tabular data. We introduce TabICooL, a new state-of-the-art foundation model for regression and classificatio…

Cited by 0SourceScholar
2025

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data

ICML 2025poster

The long-standing dominance of gradient-boosted decision trees on tabular data is currently challenged by tabular foundation models using In-Context Learning (ICL): setting the training data as context for the test data and predicting in a single forward pass without parameter updates. While TabPFNv…