Excited to announce that our work, “Computational Language Acquisition with Theory of Mind”, has been accepted to #ICLR2023! We equip language-learning agents with Theory of Mind, which improves their performance on an image referential game. arxiv.org/abs/2303.01502 (1/5) Many language acquisition theories involve children’s ability to ascribe mental states to others. We model this as an internal module trained to predict listener behavior. The speaker generates many candidates and uses an internal listener to rerank and choose between them. (2/5)