Papers with numerical error detection

1 papers
Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models (2025.coling-main)

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Challenge: Existing language models are difficult to detect numerical errors because of their finite set of tokens.
Approach: They use a benchmark dataset to classify numerical errors using automatically generated numerical errors and investigate their ability to detect errors.
Outcome: The proposed model performs well in the numerical error detection task, but not as accurate as humans.

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