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Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
This paper introduces block diffusion language models, enhancing flexibility and efficiency in generation while achieving state-of-the-art performance in language modeling benchmarks. Code and model weights are provided.
https://arxiv.org/abs//2503.09573
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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By Igor Melnyk
5
33 ratings
This paper introduces block diffusion language models, enhancing flexibility and efficiency in generation while achieving state-of-the-art performance in language modeling benchmarks. Code and model weights are provided.
https://arxiv.org/abs//2503.09573
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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