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Tabular Foundational Models
OrionMoE-Small-v1.0: Rethinking How Tabular Models Spend Their Computation
October 23, 2026
The Lexsi Alignment and Safety Stack: correcting Gemma-4-31B for multilingual and cybersecurity safety, in the weights
October 8, 2026
AI Safety
Open-sourcing the Lexsi Alignment and Safety Stack: frontier safety research for auditing, correcting and verifying model weights
September 16, 2026
TabTune
Debugging TabFM: the story the leaderboard hides
July 20, 2026
TabTune
Now Shipping: TabTune Regression for Tabular Foundational Models
February 26, 2026
TabTune
TabTune Resampling: Context Engineering for Zero-Shot Imbalanced Tabular Learning
February 25, 2026
Latest Research Papers
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Research
Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation
June 19, 2026
Research
ALIGNBEAM : Inference-Time Alignment Transfer via Cross-Vocabulary Logit Mixing
June 19, 2026
Research
Distilling Tabular Foundation Models for Structured Health Data
June 5, 2026
Research
Shaping the Prior: How Synthetic Task Distributions Determine Tabular Foundation Model Quality
June 5, 2026
Research
Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap
June 4, 2026
Research
Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees
June 3, 2026
