This work introduces a self-improvement method for LLM evaluators using synthetic data, enhancing performance significantly without human annotations, surpassing GPT-4 and matching top reward models.

https://arxiv.org/abs//2408.02666

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers