1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.ed-ph2024
Comparing large language models for supervised analysis of students' lab notes
Rebeckah K. Fussell, Megan Flynn, Anil Damle +2
Recent advancements in large language models (LLMs) hold significant promise in improving physics education research that uses machine learning. In this study, we compare the appli…
cs.LG2024★ 1 cited
STAT: Shrinking Transformers After Training
Megan Flynn, Alexander Wang, Dean Edward Alvarez +2
We present STAT: a simple algorithm to prune transformer models without any fine-tuning. STAT eliminates both attention heads and neurons from the network, while preserving accurac…