Jaeyoung Do

We propose MMPB, the first benchmark for evaluating personalization in large vision–language models.

We propose the novel concept of class vectors for efficiently and effectively editing modern classifiers.

We propose TTA -Diffusion(Token Timestep Allocation), that stabilizes the control process of diffusion language models by dynamically allocating timesteps per token, addressing instability that disrupts fluency and control.