AI Research

TL;DR: The AI Economist, a reinforcement learning (RL) system, learns dynamic tax policies that optimize equality along with productivity in simulated economies, outperforming alternative tax systems. We have now expanded this research, which…

Conference Overview This year marks the Tenth International Conference on Learning Representations (ICLR), one of the premier academic conferences dedicated to advancing research in representation learning – a type of machine learning also…

AUTHORS: Tian Xie, Xinyi Yang, Angela Lin, Donald Rose Introduction and Background Creating a system capable of conducting a meaningful conversation with a human and helping them accomplish tasks is one of the…

TL;DR: BLIP is a new pre-training framework for unified vision-language understanding and generation, which achieves state-of-the-art results on a wide range of vision-language tasks. Background For a review of some terms and definitions…

Recommendation systems are common in the consumer world. For example, Netflix, YouTube, and other companies use these systems to recommend items you would probably like, based on data about you – such as…

TL;DR: Today’s NLP models, for all their recent successes, have certain limitations. Case in point: they exhibit poor performance when processing multilingual code-mixed sentences (each containing multiple languages). Our new approach addresses this…

Salesforce is excited to announce its new AI Residency Program. We are inviting researchers and engineers to join our 12-month training program, designed to help launch their careers while serving as AI Residents at Salesforce AI Research.

Discover CTRLsum, a novel framework for controllable text summarization that enables users to control multiple aspects of generated summaries by interacting with the summarization system through textual input in the form of a set of keywords or descriptive prompts.