Sign up to save your podcasts
Or
Share Token-Efficient Long Video Understanding for Multimodal LLMs
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
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
View all episodes
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
More shows like Arxiv Papers
View all
FT News Briefing
702 Listeners
Google DeepMind: The Podcast
198 Listeners
Last Week in AI
288 Listeners
Latent Space: The AI Engineer Podcast
76 Listeners
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
442 Listeners