FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation

FlowLM introduces a novel flow matching language model, adapted from pre-trained diffusion models through efficient fine-tuning. This method enables high-quality, few-step text generation that significantly outperforms traditional diffusion sampling with fewer training epochs.