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Podcast: Arxiv Papers
Episode: MMSearch-R1: Incentivizing LMMs to Search
Description: MMSearch-R1 is a reinforcement learning framework for large multimodal models, enabling efficient, on-demand multi-turn search in real-world environments, outperforming existing methods while reducing search calls by over 30%.https://arxiv.org/abs//2506.20670YouTube: 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