Author

Sujay Sanghavi

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#machine learning Preprint Sep 2026

TabFM-Auto: Self-Evolving Pipelines for Tabular Foundation Models

Tabular foundation models achieve strong zero-shot accuracy on structured data by pretraining on synthetic tables, but they ignore the column names, task descriptions, and auxiliary files that carry dataset semantics. Meanwhile, self-evolving machine learning engineering (MLE) agents train models from scratch on each d...

Deqing Fu, Huang-Yuan Su, Rajat Sen et al. · 1 citation

#machine learning Preprint Sep 2026

dQwen3.5: Hybrid-Attention Diffusion Language Models

Adapting a pretrained autoregressive (AR) model is a cost-efficient route to a diffusion language model (DLM). While nearly all such adaptations start from a full-attention transformer, AR modeling has shifted toward hybrid architectures that interleave attention and RNN layers. This creates an obstacle for adaptation:...

Anton Xue, Litu Rout, Aditya Akella et al. · 0 citations