Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs
This work analyzes the decoding trajectories of LLaDA 2.0 and identifies a recurring diffusion confidence trap, which improves LLaDA 2.0 over confidence-based decoding, leading to more reliable mathematical reasoning.