EPISODE · Apr 30, 2025 · 29 MIN
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
from Arxiv Papers · host Igor Melnyk
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//2504.20571 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
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Reinforcement Learning for Reasoning in Large Language Models with One Training Example
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