نسخة أولية وصول مفتوح
Adapting Linear-Time Architectures for Tabular In-Context Learning
Tabular foundation models achieve strong performance by conditioning on labelled examples in context, but softmax attention limits their use on large datasets. Existing linear-time alternatives, however, are mostly causal, and their potential for tabular in-context learning (ICL) remains underexplored. To address this, …