EPISODE · Apr 26, 2025 · 21 MIN
Learning Adaptive Parallel Reasoning with Language Models
from Arxiv Papers · host Igor Melnyk
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//2504.15466 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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Learning Adaptive Parallel Reasoning with Language Models
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