perform in-context learning, it is unclear what the relationship is between tasks on which this succeeds and what is present in the training data. To make progress

In-context learning refers to the ability of a model to condition on a prompt sequence consisting of in-context examples (input-output pairs from some task) along with a new query input, and generate the corresponding output.