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Podcast: Arxiv Papers
Episode: [QA] Learning Adaptive Parallel Reasoning with Language Models
Description: Adaptive Parallel Reasoning (APR) enhances language model reasoning by combining serialized and parallel computations, improving performance, scalability, and accuracy through end-to-end reinforcement learning without predefined structures.https://arxiv.org/abs//2504.15466YouTube: 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