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Found 2 papers, 1 papers with code
Advancing Transformer's Capabilities in Commonsense Reasoning
In this work, we aim to bridge the gap by introducing current ML-based methods to improve general purpose pre-trained language models in the task of commonsense reasoning.
On the Complexity of Counterfactual Reasoning
We show that counterfactual reasoning is no harder than associational or interventional reasoning on fully specified SCMs in the context of two computational frameworks.
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