Papers with explanation-based approaches

1 papers
Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations (2026.findings-acl)

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Challenge: Natural Language Inference (NLI) datasets often exhibit label variation.
Approach: They extend LiTEx taxonomy to two NLI datasets and jointly analyze label variation and label variation.
Outcome: The proposed model combines explanations as a lens to analyze variation in NLI annotations and examine individual differences in reasoning.

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