Papers with tabular reasoning models

1 papers
Enhancing Tabular Reasoning with Pattern Exploiting Training (2022.aacl-main)

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Challenge: Existing methods based on pre-trained language models have shown superior performance over tabular tasks despite showing inherent problems such as not using the right evidence and inconsistent predictions across inputs.
Approach: They utilize Pattern-Exploiting Training (PET) on pre-trained language models to strengthen tabular reasoning models’ pre-existing knowledge and reasoning abilities.
Outcome: The proposed model exhibits superior understanding of knowledge facts and tabular reasoning compared to baseline models.

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