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Proxy-tuning is a lightweight decoding-time algorithm that can be used to customize large pretrained language models without accessing their weights. It achieves similar results to direct tuning and can be applied for domain adaptation and task-specific finetuning.
https://arxiv.org/abs//2401.08565
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
By Igor Melnyk5
33 ratings
Proxy-tuning is a lightweight decoding-time algorithm that can be used to customize large pretrained language models without accessing their weights. It achieves similar results to direct tuning and can be applied for domain adaptation and task-specific finetuning.
https://arxiv.org/abs//2401.08565
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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