Christopher Ré

A new method enhances sequence data processing using state-space models and transfer functions.

Analyzing how data order affects memory in recurrent language models.

Increasing samples during inference boosts language model problem-solving rates significantly.

This article presents a new framework to enhance inference-time techniques for language models.

Precision impacts the effectiveness and cost of language model training.

RedPajama datasets aim to enhance language model training through transparency and quality data.

Learn how models can choose the best language model without human help.

Advanced algorithms improve healthcare by analyzing patient history thoroughly.