Question interpretation diversity outperforms model diversity for LLM ensembling on binary QA tasks using majority voting.
In Findings of the Association for Computational Lin- guistics: EMNLP 2023, pages 5724–5739, Singapore
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Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
Question interpretation diversity outperforms model diversity for LLM ensembling on binary QA tasks using majority voting.