RM-R1: Reward Modeling as Reasoning
from Arxiv Papers Hosted by Igor Melnyk
This paper introduces Reasoning Reward Models (REASRMS) to enhance interpretability and performance in reward modeling for large language models, achieving state-of-the-art results through innovative training methods. https://arxiv.org/abs//2505.02387 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 25 minutes long.
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This episode was published on May 6, 2025.
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