lookahead-decoding

Proposes AdaLook, an adaptive multi-step lookahead decoding framework for masked diffusion language models that dynamically determines rollout depth and branch expansion based on candidate-score variance, achieving better accuracy-decoding steps trade-off compared to existing one-step lookahead decoding methods.