Solving the problem could significantly improve data efficiency-a single multilingual model would be able to generalize and translate between any of the O(k 2 ) language pairs after being trained only on O(k) parallel corpora.
performance on zero-shot tasks is often unstable and significantly lags behind the supervised directions.