Min-$k$ Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics

Yuanhao Ding, Meimingwei Li, Esteban Garces Arias +3

The quality of text generated by large language models depends critically on the decoding sampling strategy. While mainstream methods such as Top-$k$, Top-$p$, and Min-$p$ achieve…