research
∙
12/20/2022
Careful Data Curation Stabilizes In-context Learning
In-context learning (ICL) enables large language models (LLMs) to perfor...
share
research
∙
06/18/2022
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Current state-of-the-art vision-and-language models are evaluated on tas...
research
∙
08/26/2021
Rethinking Why Intermediate-Task Fine-Tuning Works
Supplementary Training on Intermediate Labeled-data Tasks (STILTs) is a ...
research
∙
09/29/2020
TinyGAN: Distilling BigGAN for Conditional Image Generation
Generative Adversarial Networks (GANs) have become a powerful approach f...
research
∙
09/10/2018
