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Kyuseong Choi

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Preprint Jul 2026

ORCA-bench: How Ready Are Language Model Agents for Oncall?

The ORCA-bench benchmark is introduced, a benchmark that puts general-purpose coding agents in a production-fidelity oncall setting and is a lower bound on the engineering investment required before frontier coding agents can be safely entrusted with production reliability.

Albert Gong, Kyuseong Choi, Abhineet Agarwal et al. · 0 citations
#machine learning Preprint Oct 2025

One Pipeline, Many Transformers: Pattern-Specific Imputation Specialists for Tabular Missing Data

A single pre-training pipeline that builds transformer-based imputation specialists through three components: an entry-wise featurization that recasts imputation as supervised prediction over row--column context, a synthetic data generator with pluggable missingness modules, and prior-data fitting on millions of synthetic tables.

Jacob Feitelberg, Dwaipayan Saha, Kyuseong Choi et al. · 2 citations · ⚡1