Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process
We propose LLM-PeerReview, an unsupervised LLM Ensemble method that selects the most ideal response from multiple LLM-generated candidates for each query, harnessing the collective wisdom of multiple models with diverse strengths. LLM-PeerReview is built on a novel, peer-review-inspired framework that offers a transpar...
Zhijun Chen, Zeyu Ji, Qianren Mao et al.
· arXiv.org · 5 citations