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Claire Gardent

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#natural language process... Preprint Aug 2026

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.

Kun Efimov-Zhang, Yifei Song, Claire Gardent · 0 citations
#small language model Preprint Aug 2026

Cross-Domain, Multi-Task Data-to-Text Generation without In-Domain Training Data

This work compares data-driven knowledge distillation (DDKD) against zero-shot inference and fine-tuning on out-of-domain D2T data, and introduces structure-preserving augmentation via structural subsampling and perturbation in cross-domain D2T generation.

Yifei Song, Kun Efimov-Zhang, Claire Gardent · 0 citations

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