WFCRL also offers turbine load observations that will allow to optimize the farm performance while limiting turbine structural damages.

Input reduction reduces the length of the input context before feeding to downstream LLMs.

The in-context learning (ICL) capability of pre-trained models based on the transformer architecture has received growing interest in recent years.

However, the underlying optimization principles and convergence of interactive teaching lack theoretical analysis, and in this regard co-teaching serves as a notable prototype.

We receive a prediction for each agent's location, and these predictions are crucially allowed to be only

A common practice to address this issue is using the model itself to annotate unlabeled data samples.

These advancements have been enabled in part by the availability of benchmarks.