Rethinking LLM Ensembling from the Perspective of Mixture Models
arXiv:2605.00419v1 Announce Type: cross
Abstract: Model ensembling is a well-established technique for improving the performance of machine learning models. Conventionally, this involves averaging the output distributions of multiple models and select…