Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...

Abstract: Next generation Radio Access Networks (RANs) introduce programmability, intelligence, and near real-time control through intelligent controllers, enabling enhanced security within the RAN ...

Abstract: The overwhelming scale of large language models (LLMs) exhausts the on-device communication and computation resources in vehicular networks, limiting its application in performing inference ...

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce identical items. However, even slight changes in ...

Tether Data announced the launch of QVAC Fabric LLM, a new LLM inference runtime and fine-tuning framework that makes it possible to execute, train and personalize large language models on hardware, ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

This study presents a novel model-agnostic framework that integrates large language models (LLMs) with cognitive diagnosis models (CDMs) to enhance the accuracy and robustness of cognitive assessments ...

Large Language Model agents are rapidly transitioning from research prototypes to deployed systems, raising new and urgent security challenges. Unlike static chatbots, LLM agents interact with ...

Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...