Results 21 to 30 of about 489 (30)
A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions [PDF]
arXivPatient life circumstances, including social determinants of health (SDOH), shape both health outcomes and care access, contributing to persistent disparities across gender, race, and socioeconomic status. Liver transplantation exemplifies these challenges, requiring complex eligibility and allocation decisions where SDOH directly influence patient ...
arxiv
Model Fusion via Neuron Transplantation [PDF]
Ensemble learning is a widespread technique to improve the prediction performance of neural networks. However, it comes at the price of increased memory and inference time. In this work we propose a novel model fusion technique called \emph{Neuron Transplantation (NT)} in which we fuse an ensemble of models by transplanting important neurons from all ...
arxiv +1 more source
Uniform weighted inequalities for the Hankel transform transplantation operator [PDF]
arXivIn this paper we present uniform weighted inequalities for the Hankel transform transplantation operator. A weighted vector-valued inequality is also obtained. As a consequence we deduce an extension of a transference theorem due to Rubio de Francia.
arxiv
ConTrans: Weak-to-Strong Alignment Engineering via Concept Transplantation [PDF]
arXivEnsuring large language models (LLM) behave consistently with human goals, values, and intentions is crucial for their safety but yet computationally expensive. To reduce the computational cost of alignment training of LLMs, especially for those with a huge number of parameters, and to reutilize learned value alignment, we propose ConTrans, a novel ...
arxiv
Predicting Long-Term Allograft Survival in Liver Transplant Recipients [PDF]
arXivLiver allograft failure occurs in approximately 20% of liver transplant recipients within five years post-transplant, leading to mortality or the need for retransplantation. Providing an accurate and interpretable model for individualized risk estimation of graft failure is essential for improving post-transplant care.
arxiv
Transplante homólogo de menisco: estudo experimental em coelhos*
, 2002 Ricardo Santos de Oliveira
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