标签
This paper introduces AdaMTP, an adaptive training paradigm for multi-token prediction that dynamically aligns prediction horizons with sequence predictability using entropy-based segmentation, consistently outperforming standard MTP on math, code, and general benchmarks across three LLM backbones.