Tag: tabular data modeling
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Self-Improving Tabular Language Models with Group Alignment
Discover TabGRAA, a self-improving framework for high-quality tabular data generation using iterative group-relative advantage alignment and automated feed...
TabularMath: Enhancing Math Reasoning Over Tables with LLMs
Explore TabularMath, a benchmark improving large language models' math reasoning over complex tabular data in real-world scenarios.
Auto-FP: Automated Feature Preprocessing for Tabular Data
Explore Auto-FP, an automated feature preprocessing method for tabular data that enhances machine learning model performance via HPO and NAS techniques.
Identifiability of Degenerate Gaussian Mixture Models with Piecewise Mixing
Explore identifiability of degenerate Gaussian mixture models using piecewise affine mixing and sparsity for improved causal representation learning.
ReSS: Enhanced Tabular Data Prediction with Symbolic Reasoning
Discover ReSS, a framework combining symbolic scaffolds and LLMs for accurate, interpretable tabular data prediction in healthcare and finance.