110 citations · 199 across the 5 of their papers we have counts for
6 papers
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
Yiwen Wang, Jennifer Hu, Roger Levy +1
Prior work has shown that structural supervision helps English language models learn generalizations about syntactic phenomena such as subject-verb agreement. However, it remains u…
Scalable pragmatic communication via self-supervision
Jennifer Hu, Roger Levy, Noga Zaslavsky
Models of context-sensitive communication often use the Rational Speech Act framework (RSA; Frank & Goodman, 2012), which formulates listeners and speakers in a cooperative reasoni…
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Ethan Gotlieb Wilcox, Jon Gauthier, Jennifer Hu +2
Human reading behavior is tuned to the statistics of natural language: the time it takes human subjects to read a word can be predicted from estimates of the word's probability in…
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu, Jon Gauthier, Peng Qian +2
While state-of-the-art neural network models continue to achieve lower perplexity scores on language modeling benchmarks, it remains unknown whether optimizing for broad-coverage p…
A Rate-Distortion view of human pragmatic reasoning
Noga Zaslavsky, Jennifer Hu, Roger P. Levy
What computational principles underlie human pragmatic reasoning? A prominent approach to pragmatics is the Rational Speech Act (RSA) framework, which formulates pragmatic reasonin…
Generating Bilingual Pragmatic Color References
Will Monroe, Jennifer Hu, Andrew Jong +1
Contextual influences on language often exhibit substantial cross-lingual regularities; for example, we are more verbose in situations that require finer distinctions. However, the…