Latent Flow Transformer
from Arxiv Papers Hosted by Igor Melnyk
The Latent Flow Transformer (LFT) compresses layers in language models using a learned transport operator, improving efficiency and performance while addressing limitations of existing flow-based methods. https://arxiv.org/abs//2505.14513 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 18 minutes long.
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This episode was published on May 21, 2025.
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