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Podcast: Arxiv Papers
Episode: ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Description: This paper introduces ProRL, a training method that enhances reasoning in language models through reinforcement learning, revealing novel strategies and outperforming base models in various evaluations.https://arxiv.org/abs//2505.24864YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers