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This paper proposes a standard C++ framework for managing asynchronous execution, introducing schedulers, senders, and receivers to enhance asynchrony and parallelism in C++ programming.
AHA-WAM is an asynchronous world-action model that uses dual Diffusion Transformers to decouple world prediction from action execution, achieving efficient long-horizon planning and real-time control. It achieves state-of-the-art performance on robotic manipulation tasks with up to 92.8% success on RoboTwin and 78.3% on real-world tasks, while reaching 24.17 Hz closed-loop control.
FlashEvolve is a framework that accelerates LLM-based agent self-evolution by using asynchronous stage orchestration and artifact version tracking. It significantly improves throughput and token efficiency compared to synchronous execution methods.