The Silent Vote: Improving Zero-Shot LLM Reliability by Aggregating Semantic Neighborhoods
arXiv:2605.09739v1 Announce Type: cross
Abstract: Large Language Models are increasingly used as zero-shot classifiers in complex reasoning tasks. However, standard constrained decoding suffers from a phenomenon we define as Renormalization Bias. When…