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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