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GenRecal: Generation after Recalibration from Large to Small Vision-Language Models

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Manage episode 489694338 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

GenRecal is a novel distillation framework for vision-language models that enhances knowledge transfer across diverse architectures, improving performance on resource-constrained devices while outperforming large-scale VLMs.

https://arxiv.org/abs//2506.15681

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

  continue reading

2355 episodes

Artwork
iconShare
 
Manage episode 489694338 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

GenRecal is a novel distillation framework for vision-language models that enhances knowledge transfer across diverse architectures, improving performance on resource-constrained devices while outperforming large-scale VLMs.

https://arxiv.org/abs//2506.15681

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

  continue reading

2355 episodes

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