1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2024★ 1 cited
Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks
Aaron Traylor, Jack Merullo, Michael J. Frank +1
Models based on the Transformer neural network architecture have seen success on a wide variety of tasks that appear to require complex "cognitive branching" -- or the ability to m…
cs.CL2020★ 1 cited
Enhancing Review Comprehension with Domain-Specific Commonsense
Aaron Traylor, Chen Chen, Behzad Golshan +6
Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review compreh…
cs.LG2019★ 1 cited
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
Derek Tam, Nicholas Monath, Ari Kobren +3
String similarity models are vital for record linkage, entity resolution, and search. In this work, we present STANCE --a learned model for computing the similarity of two strings.…