Modelos de visión-lenguaje robustos a objetos pequeños
Este trabajo se centra en la optimización de modelos de visión-lenguaje (VLMs) aplicados a tareas de pregunta/respuesta visual (VQA) sobre vídeos con objetos pequeños, un escenario que plantea importantes retos computacionales debido al elevado número de tokens visuales irrelevantes que se generan.
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[Chronic Pain and the Redistribution of Epistemic Power: From Technological Reductionism to Clinical Generalism]. [PDF]
Novoa Jurado AJ.
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[Becoming objects in the face of artificial intelligence]. [PDF]
Spinelli H.
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[Medical education and artificial intelligence: perspectives and ethical challenges]. [PDF]
Chávez-Martínez O, Ragacini LA.
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[Artificial intelligence and disinformation in health: The need for re-education from primary care]. [PDF]
Coronado-Vázquez V +3 more
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[Impulse control disorder: patients with pituitary adenomas and dopaminergic agonists]. [PDF]
Barreras-Ruíz A +4 more
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[Proposal for Responsible Use of Generative Artificial Intelligence in Medical Practice]. [PDF]
Pérez Martínez DA.
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Artificial intelligence-driven clinical guideline recommendations in maternal care: How trustworthy are they? [PDF]
Pérez JJ +9 more
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Adaptación de skip-gramas a modelos conexionistas del lenguaje
[EN] In this work we will focus on the development of language models using connectionist techniques. The most relevant contribution in this work is the adaptation of skip-grams techniques to neural network language models. The required techniques and models have been implemented in APRIL using the programming languages C++ and Lua.
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"A traumatic path to the profession" obstetric violence through the eyes of student nurses: a qualitative study. [PDF]
Calpbinici P, Kizilirmak A, Yavuz NŞ.
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