This blog accompanies the interactive demo and paper! Dive deeper into the underlying simulation code and simulation card. In this blog post, we focus on the high-level features and ethical considerations of AI…
TL; DR: We propose a new vision-language representation learning framework which achieves state-of-the-art performance by first aligning the unimodal representations before fusing them. Vision and language are two of the most fundamental channels…
AI can learn the language of biology to create artificial proteins across multiple protein types that are functional and unseen in nature.
An AI model can generate sequences across natural language and proteins with attributes that go beyond the training distribution
How many emails and working-related conversations do you have every day? The average office worker receives about 121 emails daily and uncountable messages on platforms such as Slack, Team, or iMessage. With the…
TL;DR: We propose controllable counterfactuals (CoCo) to evaluate dialogue state tracking (DST) models on novel scenarios, which results in significant performance drop of up to 30.8% for state-of-the-art DST models. Using CoCo for…
