Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models. - Will LeVine; Benjamin Pikus; Pranav Raj; Fernando Amat Gil (CoRR, 2023)

A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift. - Benjamin Pikus; Will LeVine; Tony Chen; Sean Hendryx (CoRR, 2023)

Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy. - Will LeVine; Benjamin Pikus; Jacob Phillips; Berk Norman; Fernando Amat Gil; Sean Hendryx (CoRR, 2024)

Understanding Trade offs When Conditioning Synthetic Data. - Brandon Trabucco; Qasim Wani; Benjamin Pikus; Vasu Sharma (CoRR, 2025)