Enrique Lopez-Cuena

HEART Attacks: Healthcare Evaluation of Adversarial RobusTness

Martín Suárez-Fernández, Enrique Lopez-Cuena, Jaume Guasch-Martí, Dario García-Gasulla et autres

Large Vision-Language Models (LVLMs) have shown potential for integrating visual and textual information, yet they continue to exhibit limitations in visual reasoning and robustness, a particular concern in high-stakes domains such as healthcare. Prior robustness evaluations remain limited in breadth, typically focusing …

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The Aloe Family recipe for open and specialized healthcare LLMs

Dario García-Gasulla, Jordi Bayarri-Planas, Ashwin Kumar Gururajan, Enrique Lopez-Cuena et autres

The growing interest in the application of Large Language Models (LLMs) for healthcare comes with a demand for better open-source LLMs, and stronger reassurances regarding their performance. To advance in this direction, this work conducts a thorough and transparent study of LLM …

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Present and Future Generalization of Synthetic Image Detectors

Pablo Bernabeu-Pérez, Enrique Lopez-Cuena, Dario García-Gasulla

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Automatic Evaluation of Healthcare LLMs Beyond Question-Answering

Anna Arias-Duart, Pablo Agustin Martin-Torres, Daniel Hinjos, Pablo Bernabeu-Pérez et autres

Current Large Language Models (LLMs) benchmarks are often based on open-ended or close-ended QA evaluations, avoiding the requirement of human labor. Close-ended measurements evaluate the factuality of responses but lack expressiveness. Open-ended capture the model's capacity to produce discourse responses but are …

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering

Anna Arias-Duart, Pablo Agustin Martin-Torres, Daniel Hinjos, Pablo Bernabeu-Pérez et autres

Anna Arias-Duart, Pablo Agustin Martin-Torres, Daniel Hinjos, Pablo Bernabeu-Perez, Lucia Urcelay Ganzabal, Marta Gonzalez Mallo, Ashwin Kumar Gururajan, Enrique Lopez-Cuena, Sergio Alvarez-Napagao, Dario Garcia-Gasulla. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: …

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Present and Future Generalization of Synthetic Image Detectors

Pablo Bernabeu-Pérez, Enrique Lopez-Cuena, Dario García-Gasulla

The continued release of increasingly realistic image generation models creates a demand for synthetic image detectors. To build effective detectors we must first understand how factors like data source diversity, training methodologies and image alterations affect their generalization capabilities. This work conducts …

Aloe: A Family of Fine-tuned Open Healthcare LLMs

Ashwin Kumar Gururajan, Enrique Lopez-Cuena, Jordi Bayarri-Planas, Adrián Tormos et autres

As the capabilities of Large Language Models (LLMs) in healthcare and medicine continue to advance, there is a growing need for competitive open-source models that can safeguard public interest. With the increasing availability of highly competitive open base models, the impact of …