Constrained Adaptive Rejection Sampling 事件

Constrained Adaptive Rejection Sampling arXiv:2510.01902v2 Announce Type: replace-cross Abstract: Language Models (LMs) are increasingly used in applications where generated outputs must satisfy strict semantic or syntactic constraints. Existing approaches to constrained generation fall along a spectrum: greedy constrained decoding methods enforce validity during decoding but distort the LM's distribution, while rejection sampling (RS) preserves fidelity but wastes computation by discarding inv