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[QA] Unveiling Encoder-Free Vision-Language Models
Manage episode 427965282 series 3524393
The paper introduces EVE, an encoder-free vision-language model trained efficiently with a unified decoder and extra supervision, outperforming encoder-based models on various benchmarks.
https://arxiv.org/abs//2406.11832
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1334 episodes
Manage episode 427965282 series 3524393
The paper introduces EVE, an encoder-free vision-language model trained efficiently with a unified decoder and extra supervision, outperforming encoder-based models on various benchmarks.
https://arxiv.org/abs//2406.11832
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1334 episodes
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