Much of the recent discourse within the NLP research community has been
...
Generative AI systems across modalities, ranging from text, image, audio...
As machine learning-enabled Text-to-Image (TTI) systems are becoming
inc...
ROOTS is a 1.6TB multilingual text corpus developed for the training of
...
Machine learning (ML) requires using energy to carry out computations du...
We identify the task of measuring data to quantitatively characterize th...
Progress in machine learning (ML) comes with a cost to the environment, ...
ImageNet-1k is a dataset often used for benchmarking machine learning (M...
By providing unprecedented access to computational resources, cloud comp...
The recent emergence and adoption of Machine Learning technology, and
sp...
Benchmarks are seen as the cornerstone for measuring technical progress ...
What happens when a machine learning dataset is deprecated for legal,
et...
Climate change is a major threat to humanity, and the actions required t...
Natural language processing (NLP) plays a significant role in tools for ...
Whereas much of the success of the current generation of neural language...