When releasing outputs from confidential data, agencies need to balance the analytical usefulness of the released data with the obligation to protect data subjects'

However, one might argue that this analysis might not allow for sufficient differentiation between tasks. To address this concern, we expanded our evaluation to the entire MMLU benchmark. This enabled a comparable assessment of task similarity, akin to our earlier experiments.

Large language models have shown tremendous performance in a variety of tasks.

In this paper, we introduce the new Aero-Eye dataset that focuses on multi-object relationship modeling in aerial videos.