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Podcast: Arxiv Papers
Episode: [QA] Reasoning LLMs Are Just Efficient Samplers: RL Training Elicits No Transcending Capacity
Description: This study critiques Reinforcement Learning with Verifiable Rewards (RLVR), revealing it doesn't enhance reasoning capabilities in large language models beyond base models, suggesting a need for improved training methods.https://arxiv.org/abs//2504.13837YouTube: 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