[QA] COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning

from Arxiv Papers · host Igor Melnyk

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

Episode metadata supplied by the publisher feed · Published May 4, 2025

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[QA] COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning

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