The Lancet

CARDBiomedBench: a benchmark for evaluating the performance of large language models in biomedical research

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
IEEE

Fast Identification of the Jiles–Atherton Model Parameters and the Electrical Conductivity Based on Gaussian Process Regression

Abstract: Various approaches already exist for identifying the Jiles-Atherton (JA) hysteresis model, typically using optimization algorithms that minimize the deviation of hysteresis curves from a ...
IEEE

Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution

Abstract: With the rapid advancement of Multi-modal Large Language Models (MLLMs), MLLM-based Image Quality Assessment (IQA) methods have shown promising performance in linguistic quality description.