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cs.CV2026
Relational Abstractions for Spatial Reasoning with Diffusion Models
Ana Ezquerro, Ozan Özdenizci
Diffusion models excel at image synthesis, but they remain limited in their ability to reliably satisfy structured spatial reasoning constraints. In conditional data distribution m…
cs.CL2026
Synthetic Data Characterization via Training Dynamics
Irene Lago, Ana Ezquerro, David Vilares
Interpreting properties of LLM-generated data is important for understanding its utility and limitations across learning tasks. In this work, we characterize synthetic data through…