Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration Yichong Huang

Neural Information Processing Systems 

Existing methods can be categorized into selection-based and fusion-based ensembling. Selection-based ensembling selects the best candidate answer from all individual LLMs' answers using an

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