Author

Boran Han

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#artificial intelligence Preprint Sep 2026

TCSAlgBench: Benchmarking Automated Proving for Research-Level Theoretical Computer Science

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

Book Open access Aug 2026

Taming Structured Data Foundation Models with AutoML: A Hands-On Guide

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