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Found 3 papers, 1 papers with code
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation
To address this issue, we propose a novel framework, named Generalizable and Faithful Reasoner (GFaiR), which introduces the paradigm of resolution refutation.
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation
Causal reasoning ability is crucial for numerous NLP applications.
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination
To relieve this issue, curriculum learning is proposed to improve model performance and generalization by ordering training samples in a meaningful (e. g., easy to hard) sequence.
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