1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2025
Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning
Wesley Scivetti, Tatsuya Aoyama, Ethan Wilcox +1
Humans have a remarkable ability to acquire and understand grammatical phenomena that are seen rarely, if ever, during childhood. Recent evidence suggests that language models with…
cs.CL2025
Language Models Grow Less Humanlike beyond Phase Transition
Tatsuya Aoyama, Ethan Wilcox
LMs' alignment with human reading behavior (i.e. psychometric predictive power; PPP) is known to improve during pretraining up to a tipping point, beyond which it either plateaus o…
cs.CL2024★ 1 cited
Identifying Fairness Issues in Automatically Generated Testing Content
Kevin Stowe, Benny Longwill, Alyssa Francis +3
Natural language generation tools are powerful and effective for generating content. However, language models are known to display bias and fairness issues, making them impractical…