Papers by Jasivan Sivakumar

1 papers
FERMAT: An Alternative to Accuracy for Numerical Reasoning (2023.acl-long)

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Challenge: Existing numerical reasoning models are too weak for downstream tasks like fact-checking . FERMAT evaluates models on number understanding, mathematical operations, and training dependency .
Approach: They propose a multi-view evaluation set for numerical reasoning in English that evaluates models on key numerical reasoning aspects instead of reporting a single score on a whole dataset.
Outcome: FERMAT evaluates models on number understanding, mathematical operations, and training dependency.

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