Generative AI
The generative modeling landscape has experienced tremendous growth in recent years, particularly in generating natural images and art. …
The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This …
Large language models have been fine-tuned to learn poetry via supervised learning on a dataset containing relevant examples. However, …
Text-based dialogues are now widely used to solve real-world problems. In cases where solution strategies are already known, they can …
Synthetic image generation has recently experienced significant improvements in domains such as natural image or art generation. …
Robots in many real-world settings have access to force/torque sensors in their gripper and tactile sensing is often necessary in tasks …
Structured knowledge grounding (SKG) leverages structured knowledge to complete user requests, such as semantic parsing over databases …
Recent extensions of Cellular Automata (CA) have incorporated key ideas from modern deep learning, dramatically extending their …
We extend score-based generative diffusion processes (GDPs) to sparse graphs and other inherently discrete data, with a focus on …
Video prediction is a challenging task. The quality of video frames from current state-of-the-art (SOTA) generative models tends to be …