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A Chinese team released LimiX-2, a structure data foundation model, achieving first place across TabArena, TALENT, and BCCO benchmarks.
technology9 h ago
coda.news AI summary
- LimiX-2 is a 400 million-parameter structure data foundation model that achieved first place across TabArena, TALENT, and BCCO benchmarks in binary classification, multi-class, and regression tasks.
- The model introduces Contextual Mechanism Networks (CMNs) and context conditioning mask modelling (CCMM), prioritizing learning relationships among variables over single-task prediction.
- An automated high-quality data synthesis engine is used to expose the model to more diverse data structures and support cross-variable and cross-sample interactions at the cell level.
- On TabArena, LimiX-2 ranks first in all four metrics with an Elo of 1917; on TabArena regression, it also ranks first with an Elo of 2206.
- The development aims to move beyond predicting a single target to understanding stable variable relationships across environments and generating data-driven causal structures.
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