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Podcast: Arxiv Papers
Episode: Inference-Time Scaling for Generalist Reward Modeling
Description: This paper explores improving reward modeling and inference-time scalability in large language models using pointwise generative reward modeling and Self-Principled Critique Tuning, achieving enhanced performance and quality.https://arxiv.org/abs//2504.02495YouTube: 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