Abstract: Generative models (GMs), particularly large language models (LLMs), have garnered significant attention in machine learning and artificial intelligence for their ability to generate new data ...

Abstract: Class-incremental learning (CIL) with the Broad Learning System (BLS) has emerged as a computationally efficient alternative to deep incremental models. However, existing BLS-based CIL ...

OS-R1 is an agentic Linux kernel tuning framework that leverages reinforcement learning (RL) and large language models (LLMs) for efficient kernel configuration. It introduces a rule-based RL approach ...