![[QA] Reinforcement Learning for Reasoning in Large Language Models with One Training Example episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/38126503/38126503-1686696647986-c72655f5033ff.jpg)
EPISODE · Apr 30, 2025 · 9 MIN
[QA] 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
Embed this episode
Ready to play
[QA] Reinforcement Learning for Reasoning in Large Language Models with One Training Example
No transcript for this episode yet
Similar Episodes
No similar episodes found.