Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions. - Skyler Wu; Eric Meng Shen; Charumathi Badrinath; Jiaqi Ma 004; Himabindu Lakkaraju (CoRR, 2023)

Exploring the Sharpened Cosine Similarity. - Skyler Wu; Fred Lu; Edward Raff; James Holt (CoRR, 2023)

Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling. - Skyler Wu; Fred Lu; Edward Raff; James Holt (NeurIPS, 2024)

Extracting Signal out of Chaos: Advancements on MAGI for Bayesian Analysis of Dynamical Systems. - Skyler Wu (CoRR, 2024)

Are Statistical Methods Obsolete in the Era of Deep Learning? - Skyler Wu; Shihao Yang; S. C. Kou (CoRR, 2025)