Papers by Riza Batista-navarro

1 papers
Identifying the limits of transformers when performing model-checking with natural language (2023.eacl-main)

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Challenge: Recent studies have focused on transformer models’ ability to perform reasoning on text, but the above question has not been adequately answered.
Approach: They investigated the problem of model-checking with natural language to determine whether transformers can comprehend logical semantics in natural language.
Outcome: The proposed model-checking problem is suited to address this issue but is untouched in natural language inference research.

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