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[QA] Adapting Language Models via Token Translation
from Arxiv Papers Hosted by Igor Melnyk
Sparse Sinkhorn Token Translation (S2T2) improves text compression and inference in new domains by training tailored tokenizers and enabling effective token translation, enhancing performance in language models. https://arxiv.org/abs//2411.00593 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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How long is this episode of Arxiv Papers?
This episode is 8 minutes long.
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This episode was published on November 4, 2024.
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