IsoScore: Measuring the Uniformity of Vector Space Utilization. - William Rudman; Nate Gillman; Taylor Rayne; Carsten Eickhoff (CoRR, 2021)

IsoScore: Measuring the Uniformity of Embedding Space Utilization. - William Rudman; Nate Gillman; Taylor Rayne; Carsten Eickhoff (ACL (Findings), 2022)

Self-Correcting Self-Consuming Loops for Generative Model Training. - Nate Gillman; Michael Freeman; Daksh Aggarwal; Chia-Hong Hsu; Calvin Luo; Yonglong Tian; Chen Sun 002 (ICML, 2024)

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions. - Nate Gillman; Daksh Aggarwal; Michael Freeman; Saurabh Singh; Chen Sun 002 (CoRR, 2024)

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions. - Nate Gillman; Daksh Aggarwal; Michael Freeman; Chen Sun 002 (ICLR, 2025)

Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals. - Nate Gillman; Charles Herrmann; Michael Freeman; Daksh Aggarwal; Evan Luo; Deqing Sun; Chen Sun 002 (CoRR, 2025)