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COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning
COMPACT enhances Multimodal Large Language Models by generating training datasets that focus on compositional complexity, improving performance on complex vision-language tasks while using significantly less data.
https://arxiv.org/abs//2504.21850
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
COMPACT enhances Multimodal Large Language Models by generating training datasets that focus on compositional complexity, improving performance on complex vision-language tasks while using significantly less data.
https://arxiv.org/abs//2504.21850
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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