Large language models perform strongly on competition mathematics, but their research-level reasoning remains difficult to evaluate systematically. Theoretical computer science (TCS) connects algorithm design to explicit guarantees and fundamental limits, providing a setting for evaluating whether models can justify co...
Chu-Tong Yang, Xi-Yuan Zhang, Yu Huang et al.· 0 citations
We introduce Mitra-v2, a tabular foundation model that delivers state-of-the-art performance on real-world classification and regression problems, from credit-risk scoring and clinical prediction to equipment-failure detection and house-price estimation. Mitra-v2 is trained only on synthetic data, with a pretraining di...
Ye-Fan Tao, Xi-Yuan Zhang, Xin-Yi Liu et al.· 3 citations· ⚡1
Structured data drives enterprise decision-making, yet building predictive pipelines for time-series and tabular modalities requires intensive feature engineering, model selection, and other ''tricks of the trade''. AutoGluon, an open source AutoML system, automates this through multi-layer stack ensembling, providing...
Boran Han, Nick Erickson, Abdul Fatir Ansari et al.· Proceedings of the 32nd ACM...· 0 citations
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