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Token-Efficient Long Video Understanding for Multimodal LLMs
STORM enhances video understanding in multimodal LLMs by integrating a temporal encoder, improving performance and reducing computational costs while preserving inter-frame dynamics across long video sequences.
https://arxiv.org/abs//2503.04130
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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By Igor Melnyk
5
33 ratings
STORM enhances video understanding in multimodal LLMs by integrating a temporal encoder, improving performance and reducing computational costs while preserving inter-frame dynamics across long video sequences.
https://arxiv.org/abs//2503.04130
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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