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Found 3 papers, 1 papers with code
Bayesian Prediction-Powered Inference
Prediction-powered inference (PPI) is a method that improves statistical estimates based on limited human-labeled data.
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
We describe a novel way of representing a symbolic knowledge base (KB) called a sparse-matrix reified KB.
Differentiable Representations For Multihop Inference Rules
We present efficient differentiable implementations of second-order multi-hop reasoning using a large symbolic knowledge base (KB).
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