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Found 3 papers, 2 papers with code
Training Dynamics of Contextual N-Grams in Language Models
We show that this neuron exists within a broader contextual n-gram circuit: we find late layer neurons which recognize and continue n-grams common in German text, but which only activate if the German neuron is active.
Leveraging AI to improve human planning in large partially observable environments
To bridge this gap, we developed the first metareasoning algorithm for discovering resource-rational strategies for human planning in partially observable environments.
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning
Future work can leverage our method to develop decision support systems that improve human decision making in the real world.
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