Accelerating Diffusion LLMs via Adaptive Parallel Decoding

from Arxiv Papers · host Igor Melnyk

The paper introduces adaptive parallel decoding (APD), enhancing diffusion large language models' speed by dynamically adjusting token sampling, improving throughput while maintaining quality compared to autoregressive models. https://arxiv.org/abs//2506.00413 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

Episode metadata supplied by the publisher feed · Published Jun 4, 2025

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Accelerating Diffusion LLMs via Adaptive Parallel Decoding

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