Sycophancy is an undesirable behavior where models tailor their response...
Transformers are central to recent successes in natural language process...
We present symbol tuning - finetuning language models on in-context
inpu...
We study how in-context learning (ICL) in language models is affected by...
We present a method to formulate algorithm discovery as program search, ...
For industrial-scale advertising systems, prediction of ad click-through...
The best neural architecture for a given machine learning problem depend...
In deep learning area, large-scale image datasets bring a breakthrough i...
Neural architectures and hardware accelerators have been two driving for...
In this paper, we propose Neural Phrase-to-Phrase Machine Translation
(N...