Search Results for author:
Found 3 papers, 3 papers with code
Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language
We propose LENS, a modular approach for tackling computer vision problems by leveraging the power of large language models (LLMs).
Balsa: Learning a Query Optimizer Without Expert Demonstrations
Query optimizers are a performance-critical component in every database system.
Symbolic Music Generation with Diffusion Models
Score-based generative models and diffusion probabilistic models have been successful at generating high-quality samples in continuous domains such as images and audio.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
