Jorge Gabín

Retrieval-Augmented Generation (RAG) systems rely on retrieved documents being concatenated into a model's input context, making both document ordering and context size critical yet controversial design choices. Prior work reports position-based effects such as lost in the middle and related long...

Evaluating query suggestion systems in a manner that reflects real-world query formulation remains a persistent challenge. Most offline methodologies adopt static assumptions, such as users accepting all or the top-$e$ suggestions, ignoring the inherently selective and intent-driven nature of int...