Compositionality in Meta ICL

Daniel and Sewon discuss the role of compositionality in meta ICL and explore how models can be trained to perform seemingly disjoint tasks. They mention recent papers that tackle this problem and express the elegance of the implementation. The conversation highlights the importance of understanding the extent of compositional generalization and the potential limitations that still remain.