Lexsi Logo
Contact Us
File Icon

Resources

ArticlesResearch Papers

Latest Articles

View All
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
AlignTune

Retail Banking Case Study: Why Specialists Beat Generalists on Template-Strict Workflows

February 23, 2026

Retail Banking Case Study: Why Specialists Beat Generalists on Template-Strict Workflows

February 23, 2026
AlignTune

The Specialization Dividend: Aligning a 4B Model for Wealth Management using AlignTune

February 23, 2026
AlignTune

Open-Sourcing AlignTune: A Unified Interface for Post-Training Alignment

February 23, 2026

Latest Research Papers

View All
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
Lexsi Logo
Lexsi Labs is dedicated to building the foundations for Safe Superintelligence — uniting alignment theory, interpretability science, and agentic autonomy into one research continuum to make AI aligned, interpretable and fit for the future.
Navigation
HomeCareersContact Us
Resources
All ResourcesArticlesResearch Papers
SOCIALS
TwitterLinkedIn
Get in touch
hello@lexsi.ai
© 2026 Lexsi. All rights reserved.
Terms and Conditions
Privacy Policy
Data and Protection Addendum
Payments and Refunds Policy