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Found 4 papers, 3 papers with code
A large language model-assisted education tool to provide feedback on open-ended responses
Open-ended questions are a favored tool among instructors for assessing student understanding and encouraging critical exploration of course material.
Neural Networks as Paths through the Space of Representations
Deep neural networks implement a sequence of layer-by-layer operations that are each relatively easy to understand, but the resulting overall computation is generally difficult to understand.
Clustering units in neural networks: upstream vs downstream information
However, defining and quantifying modularity remains an open problem.
Interpolating between sampling and variational inference with infinite stochastic mixtures
This work takes a step towards a highly flexible yet simple family of inference methods that combines the complementary strengths of sampling and VI.
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