Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds. - Minwu Kim (CoRR, 2024)

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges. - Safal Shrestha; Minwu Kim; Keith Ross (CoRR, 2025)

Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings. - Safal Shrestha; Minwu Kim; Aadim Nepal; Anubhav Shrestha; Keith Ross (CoRR, 2025)

Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning. - Minwu Kim; Anubhav Shrestha; Safal Shrestha; Aadim Nepal; Keith Ross (CoRR, 2025)

Layer Importance for Mathematical Reasoning is Forged in Pre-Training and Invariant after Post-Training. - Aadim Nepal; Safal Shrestha; Anubhav Shrestha; Minwu Kim; Keith Ross (CoRR, 2025)