Search Results for author:
Found 2 papers, 1 papers with code
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
Thus, we propose to learn the idiosyncratic activation functions for prompt generators automatically with the help of rational functions.
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
To enhance the scene diversity and stochasticity, the historical trajectory data is first preprocessed and encoded into latent space using Denoising Diffusion Probabilistic Models (DDPM) enhanced with Diffusion with Transformer (DiT) blocks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
