Computational Language Acquisition with Theory of Mind

This paper investigates how incorporating Theory of Mind (ToM) into language acquisition models can enhance their performance.

It uses an image referential game setting to test the effects of ToM on language learning, finding that models with a strong ToM component perform better and produce more fluent utterances.