alexwarstadt.github.io
-LMs as models of human learners
-Efficient LM pretraining
-Bayesian & experimental pragmatics
-Information-theoretic linguistics
-Prosody and speech processing
-Multimodal pretraining
-Grammatical evaluation
-LMs as models of human learners
-Efficient LM pretraining
-Bayesian & experimental pragmatics
-Information-theoretic linguistics
-Prosody and speech processing
-Multimodal pretraining
-Grammatical evaluation
We use advances in NLP to investigate how humans learn language and why language is the way it is.
And we use insights from Linguistics and CogSci to evaluate and interpret LMs and advance data-efficient pretraining.
We use advances in NLP to investigate how humans learn language and why language is the way it is.
And we use insights from Linguistics and CogSci to evaluate and interpret LMs and advance data-efficient pretraining.