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Podcast: Arxiv Papers
Episode: Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Description: This study critiques the Qwen2.5 model's reasoning performance, highlighting data contamination issues and advocating for clean benchmarks and accurate reward signals in reinforcement learning evaluations.https://arxiv.org/abs//2507.10532YouTube: 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