On Masked Pre-training and the Marginal Likelihood. - Pablo Moreno-Muñoz; Pol Garcia Recasens; Søren Hauberg (NeurIPS, 2023)

Towards Pareto Optimal Throughput in Small Language Model Serving. - Pol G. Recasens; Yue Zhu; Chen Wang 039; Eun Kyung Lee; Olivier Tardieu; Alaa Youssef; Jordi Torres; Josep Lluis Berral (EuroMLSys@EuroSys, 2024)

FRIDA: Free-Rider Detection using Privacy Attacks. - Pol G. Recasens; Ádám Horváth; Alberto Gutierrez-Torre; Jordi Torres; Josep Lluis Berral; Balázs Pejó (CoRR, 2024)

Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference. - Pol G. Recasens; Ferran Agullo; Yue Zhu; Chen Wang 039; Eun Kyung Lee; Olivier Tardieu; Jordi Torres; Josep Lluís Berral (CoRR, 2025)

In-Context Bias Propagation in LLM-Based Tabular Data Generation. - Pol G. Recasens; Alberto Gutierrez; Jordi Torres; Josep Lluís Berral; Anisa Halimi; Kieran Fraser (CoRR, 2025)