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Podcast: Arxiv Papers
Episode: Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Description: The paper demonstrates that 1-shot reinforcement learning with verifiable rewards significantly enhances large language models' mathematical reasoning, achieving notable performance improvements across various benchmarks and models.https://arxiv.org/abs//2504.20571YouTube: 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