Author

Sujay Sanghavi

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#machine learning Preprint Sep 2026

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

TabFM-Auto is introduced, which pairs a tabular foundation model, TabFM, with a language model agent that evolves the data pipeline around it, and ranks first overall among MLE agents.

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

#machine learning Preprint Sep 2026

dQwen3.5: Hybrid-Attention Diffusion Language Models

This work investigates whether hybrid backbones can become effective DLMs by adapting Qwen3.5 at 0.8B, 2B, 4B, and 9B scales, and finds that they can be efficient starting points for adaptation.

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