The paper argues that NLI models should detect and classify content-based ambiguity before inference, treating disagreement as signal rather than noise.
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From Disagreement to Understanding: The Case for Ambiguity Detection in NLI
The paper argues that NLI models should detect and classify content-based ambiguity before inference, treating disagreement as signal rather than noise.