32 citations · 33 across the 3 of their papers we have counts for
3 papers
Memory-Based Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut +2
Even the largest neural networks make errors, and once-correct predictions can become invalid as the world changes. Model editors make local updates to the behavior of base (pre-tr…
Fast Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut +2
While large pre-trained models have enabled impressive results on a variety of downstream tasks, the largest existing models still make errors, and even accurate predictions may be…
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
Arthur Allshire, Roberto Martín-Martín, Charles Lin +3
The process of learning a manipulation task depends strongly on the action space used for exploration: posed in the incorrect action space, solving a task with reinforcement learni…