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[QA] DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
from Arxiv Papers Hosted by Igor Melnyk
This paper introduces a distribution-level curriculum learning framework for RL-based post-training of LLMs, enhancing reasoning capabilities by adaptively scheduling training across diverse data distributions. https://arxiv.org/abs//2504.09710 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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How long is this episode of Arxiv Papers?
This episode is 7 minutes long.
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This episode was published on April 15, 2025.
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