Papers by Jielin Song

1 papers
CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement (2025.emnlp-main)

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Challenge: Existing approaches to disagreement detection are limited by conceptual gap and reasoning gap.
Approach: They propose a conceptual alignment and reasoning enhancement framework to address the conceptual gap and the reasoning gap in disagreement detection.
Outcome: The proposed framework shows superior performance in zero-shot and supervised learning settings, both within and across domains.

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