Rethinking Tabular Foundation Models On Data Streams

arXiv:2610.05352 · cs.LG, cs.AI · Submitted 2026-10-04 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-10-04

Updated: 2026-10-04

Code: https://github.com/TechyNilesh/StreamTFM-Study

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes

Sources

• Evaluation of Test-Time Adaptation Under Computational Time Constraints
• Longformer: The Long-Document Transformer
• CapyMOA: Efficient Machine Learning for Data Streams and Online Continual Learning in Python
• Bounded Context Management for Tabular Foundation Models on Stream Learning
• nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN
• TabICLv2: A better, faster, scalable, and open tabular foundation model

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