IEEE

Multitask Collaborative Learning Neural Network for Radio Signal Classification

Abstract: Automatic modulation classification (AMC) plays an increasingly crucial role in intelligent spectrum management and dynamic spectrum access, which can effectively support the reallocation of ...
IEEE

Cross-Domain PolSAR Image Classification Using Complex-Valued Few-Shot Learning Network

Abstract: With the impetus of supervised deep learning-based classifiers requiring extensive human-annotated training sets, polarimetric synthetic aperture (PolSAR) image classification has advanced ...
GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
The New York Times

As the Price of Beef Soars, Restaurants Are in ‘Code Red’ Mode

Midpriced steakhouses and fine-dining establishments are trying to figure out how to cover their rising costs without scaring away customers. By Julie Creswell In early November, as Halls Chophouse ...