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8 papers
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Stabilization of a perturbed quintic defocusing Schrödinger equation in
Pablo Braz e Silva, Roberto de A. Capistrano-Filho, Jackellyny Dassy do Nascimento Carvalho +1
This article addresses the stabilizability of a perturbed quintic defocusing Schrödinger equation in at the --energy level, considering the influence of a dam…
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
Ruben Gonzalez-Perez, Francisco Lopez-Tiro, Ivan Reyes-Amezcua +6
Currently, the Morpho-Constitutional Analysis (MCA) is the de facto approach for the etiological diagnosis of kidney stone formation, and it is an important step for establishing p…
A branching model for intergenerational telomere length dynamics
Athanasios Benetos, Olivier Coudray, Anne Gégout-Petit +3
We build and study an individual based model of the telomere length's evolution in a population across multiple generations. This model is a continuous time typed branching process…
Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images
Sk Imran Hossain, Jocelyn de Goër de Herve, Md Shahriar Hassan +16
Lyme disease which is one of the most common infectious vector-borne diseases manifests itself in most cases with erythema migrans (EM) skin lesions. Recent studies show that convo…
Assessing deep learning methods for the identification of kidney stones in endoscopic images
Francisco Lopez, Andres Varela, Oscar Hinojosa +8
Knowing the type (i.e., the biochemical composition) of kidney stones is crucial to prevent relapses with an appropriate treatment. During ureteroscopies, kidney stones are fragmen…