3 papers
cs.AI2026
Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop
Yaxuan Wang, Zhongteng Cai, Yujia Bao +2
The rapid advancement of large language models (LLMs) has led to growing interest in using synthetic data to train future models. However, this creates a self-consuming retraining…
cs.LG2025
Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering
Zhongteng Cai, Yaxuan Wang, Yang Liu +1
As synthetic data proliferates across the Internet, it is often reused to train successive generations of generative models. This creates a ``self-consuming loop" that can lead to…
cs.LG2025
Demographic-Agnostic Fairness without Harm
Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang
As machine learning (ML) algorithms are increasingly used in social domains to make predictions about humans, there is a growing concern that these algorithms may exhibit biases ag…