The paper explores the concept of weak model supervision and its ability to elicit the full capabilities of a stronger model. The authors test this using pretrained language models and find that simple methods can improve weak-to-strong generalization, making progress on aligning superhuman models.

https://arxiv.org/abs//2312.09390

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