清华稳准智能联合发布LimiX-2，结构化数据基础模型登顶国际评测榜单

TL;DR - Tsinghua University and Stable AI released LimiX-2, a 400M-parameter foundation model for structured data that ranks first by overall Elo on the TabArena, BCCO, and TALENT benchmarks. It aims to unify prediction and structure discovery across tabular-data tasks.

• LimiX-2 scored 1935, 1432, and 1506 overall Elo on TabArena, BCCO, and TALENT, respectively, according to the announcement.
• Its Contextual Mechanism Networks model joint dependencies among variables rather than focusing only on a predefined target.
• Context-conditioned masked modeling and cell-level representations unify classification, regression, missing-value imputation, and causal-structure queries.
• Pretraining uses an upgraded synthetic-data generator covering linear, nonlinear, multivariable, periodic, and noisy distributions; the model was scaled to 400M parameters.