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 ...
GitHub

FedPFT: One-shot Federated Learning with Foundation Models

Authors: Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang. Abstract: In one-shot federated learning (FL), clients collaboratively train a global model in a ...
IEEE

3-D Attributed Scattering Center Model of Dynamic Group Targets by Forward Parametric Modeling Method

Abstract: A forward parametric modeling method is proposed to establish 3-D attributed scattering center (ASC) models for dynamic group targets. The main steps include computer-aided design (CAD) ...
IEEE

Parametric Modeling of Coupled Stripline Coupler With Arbitrary Operating Frequency and Coupling Coefficient in Silicon-Based 3-D RF Integration

Abstract: A parametric model is proposed for the coupled stripline coupler with arbitrary operating frequency and coupling coefficient in silicon-based 3-D RF integration. All the three parts of the ...
GitHub

VAR: a new visual generation method elevates GPT-style models beyond diffusion & Scaling laws observed

🕹️ Try and Play with VAR! We provide a demo website for you to play with VAR models and generate images interactively. Enjoy the fun of visual autoregressive modeling! We provide a demo website for ...