One of the most promising approaches involves designing experiments with small LMs in carefully controlled learning scenarios to investigate the learnability of specific syntactic features from sparse or indirect evidence. 9/

There's a lot of great work in computational linguistics doing just that – by people like @tallinzen, @weGotlieb, @a_stadt & many others. The @babyLMchallenge is also a great example of ongoing efforts to tackle concerns about the developmental plausibility of model learners. 10/