XQDT: eXplainable and Quantitative Data-Text Alignment Metric with Feedback Signals
This work presents an end-to-end explainable evaluation metric that fine-tunes a language model to identify omitted, extra, incorrect, and correct data units in a data-text pair, providing both fine-grained diagnostic feedback and an interpretable measure of alignment quality.