2 citations · 3 across the 2 of their papers we have counts for
2 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.NE2024★ 2 cited
The dynamic interplay between in-context and in-weight learning in humans and neural networks
Jacob Russin, Ellie Pavlick, Michael J. Frank
Human learning embodies a striking duality: sometimes, we appear capable of following logical, compositional rules and benefit from structured curricula (e.g., in formal education)…