The paper introduces RENT, an unsupervised reinforcement learning method using entropy minimization as intrinsic reward, enhancing reasoning abilities in language models without external supervision across various benchmarks.

https://arxiv.org/abs//2505.22660

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