Information-Guided Frontier Decoding: Contextual Utility-Driven Commitment in dMLLMs
IGFD is proposed, a training-free decoding strategy that ranks candidates using token confidence, neighborhood uncertainty, and structural commitment risk and consistently outperforms existing decoding strategies across the majority of benchmarks and diffusion MLLM backbones under identical decoding budgets.