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Found 2 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.
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
Through pretraining on a corpus with various sources, Large Language Models (LLMs) have gained impressive performance.
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