Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling

Yao-Ching Yu, Chun-Chih Kuo, Ziqi Ye +2

Ensembling multiple models has always been an effective approach to push the limits of existing performance and is widely used in classification tasks by simply averaging the class…