Assistant Professor, Rutgers University
3 papers at NeurIPS 2025
We propose a general fine-tuning approach to address the performance drops on the imbalanced text-to-image generation tasks.
A Training-Free Bayesianization approach is proposed for LLM adapters that achieves better uncertainty estimation.