“We present HORIZON, a self-evolving agent framework that treats hardware design as repository-level code evolution. A Markdown harness is compiled into a project pack containing domain knowledge, an ...

Abstract: Automated pattern recognition of movement disorders is challenging due to patient differences and subtle symptoms. We present PA-Gait, a multi-modal deep learning framework that combines ...

skyrl-agent: Our agent layer for training long-horizon, real-world agents. For exact reproduction of SkyRL-v0 results, please checkout to commit ...

RAGChecker is an advanced automatic evaluation framework designed to assess and diagnose Retrieval-Augmented Generation (RAG) systems. It provides a comprehensive suite of metrics and tools for ...

Abstract: The need for low-power, area-efficient, and low-complexity hardware architectures has become an essential axis of emerging neuromorphic frameworks. Moreover, in the prevailing architectures ...