MoPe: Model Perturbation based Privacy Attacks on Language Models. - Marvin Li; Jason Wang; Jeffrey G. Wang; Seth Neel (EMNLP, 2023)

Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models. - Sahil Kuchlous; Marvin Li; Jeffrey G. Wang (CoRR, 2024)

Learning from Synthetic Labs: Language Models as Auction Participants. - Anand Shah; Kehang Zhu; Yanchen Jiang; Jeffrey G. Wang; Arif Kerem Dayi; John J. Horton; David C. Parkes (CoRR, 2025)