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Found 3 papers, 1 papers with code
Eigenpruning
In the case of a small synthetic task in integer multiplication, the Phi-2 model can improve its accuracy in the test set from 13. 75% to 97. 50%.
Bridging the visual gap in VLN via semantically richer instructions
In this work, we hypothesize that poor use of the visual information available is at the core of the low performance of current models.
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference
Large-scale pre-trained language models have shown remarkable results in diverse NLP applications.
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