Enhancing Caption Fidelity via Explanation-Guided Captioning with Vision-Language Fine-Tuning

Abstract excerpt

Image captioning models have achieved remarkable progress with the introduction of attention mechanisms and transformer-based architectures. However, understanding and diagnosing their predictions remain a challenging task, particularly in terms of attribution, interpretability, and mitigation of hallucinated outputs. In this work, we present \textbf{CAPEV}, a novel explanation-guided fine-tuning paradigm that bui...

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• Radiomics and Machine Learning in Medical Imaging

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Literature Corpus work

9d8196b4-3ae3-59ab-bf5b-1fd907be1821

DOI

10.20944/preprints202508.0076.v1