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 WenZhun Intelligence released LimiX-2, a 400M-parameter foundation model for structured data that ranks first overall on the TabArena, BCCO, and TALENT benchmarks. It aims to unify prediction and structure discovery across enterprise tabular-data tasks.

• LimiX-2 achieved overall Elo scores of 1935, 1432, and 1506 on TabArena, BCCO, and TALENT, respectively, according to the announcement.
• Its Contextual Mechanism Networks model joint dependencies among variables rather than optimizing only for a predefined target, using contextual conditional masked modeling and cell-level representations.
• Classification, regression, and missing-value imputation are treated as different queries over one shared data model; the same framework also supports causal-structure discovery.
• The release scales LimiX to 400M parameters and upgrades its synthetic-data engine to generate varied linear, nonlinear, interaction, periodic, and noisy distributions for pretraining.