Peking University proposed MapFlow, allowing attention to be reused across models.

Peking University proposed the MapFlow method, allowing attention to be reused across models to avoid redundant calculations. This method supports multi-model collaboration with model A planning and model B refinement, reducing costs while maintaining performance. MapFlow significantly reduces computational overhead by reusing the KV cache in the attention mechanism.