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Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers (2025.findings-emnlp)

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Challenge: predicting the final label alone is insufficient and offers limited interpretability.
Approach: They propose to reframe table–text alignment as an explanation task requiring models to identify the table cells essential for claim verification.
Outcome: The proposed taxonomy improves claim verification performance and most LLMs fail to recover human-aligned rationales, suggesting that their predictions do not stem from faithful reasoning.

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