3 papers
cs.AI2025
Training Data Attribution for Image Generation using Ontology-Aligned Knowledge Graphs
Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis +1
As generative models become powerful, concerns around transparency, accountability, and copyright violations have intensified. Understanding how specific training data contributes…
cs.IR2025
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
Jie Wang, Fajie Yuan, Mingyue Cheng +6
Learning large-scale pre-trained models on broad-ranging data and then transfer to a wide range of target tasks has become the de facto paradigm in many machine learning (ML) commu…
cs.AI2025
Enhancing Interpretability in Generative AI Through Search-Based Data Influence Analysis
Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis +1
Generative AI models offer powerful capabilities but often lack transparency, making it difficult to interpret their output. This is critical in cases involving artistic or copyrig…