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Combining Logic and Large Language Models for Assisted Debugging and Repair of ASP Programs
ONSPRIDE: An Ontology-based Framework for Privacy by Design in Distributed Networks Apps (to appear)
New Microgrid Structure, Based on Z-Source Converter Series Coupling and Managed by a Markov Decision Process
@article{ortega2025new, title={New Microgrid Structure, Based on Z-Source Converter Series Coupling and Managed by a Markov Decision Process}, author={Ortega, Mar{\`\i}a V and Lanagr{\`a}n, Enrique and Ortega, Manuel and Alves, Jos{\`e} F and Jurado, Francisco}, journal={IEEE Transactions on Smart Grid}, year={2025}, publisher={IEEE
GroundCap: A Visually Grounded Image Captioning Dataset
This research introduces GroundCap, a novel dataset and task formulation for visually grounded image captioning, addressing the challenge of linking descriptive text to specific visual elements. The authors propose a unified grounding framework that enables consistent object reference tracking and action-object linking, and present gMETEOR, a metric combining caption quality with grounding accuracy. By providing a large-scale dataset of images with captions explicitly grounded to visual elements, GroundCap aims to bridge the gap between current image captioning systems and human visual communication