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Showing papers from Bytedance Seed; The University of Hong Kong Show all papers

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NeurIPS 2026U California, San DiegoUC San DiegoU North Carolina at Chapel HillBytedance Seed; The University oUCSDEfficient inference & serving

SimSD: Simple Speculative Decoding in Diffusion Language Models

SimSD proposes a plug-and-play masking strategy that enables token-level speculative decoding in diffusion language models, achieving up to 7.46x faster throughput without training.

Junxia Cui, Haotian Ye, Runchu Tian, Hongcan Guo and 8 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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strict 1/5
78%Highly rated
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NeurIPS 2026SpotlightBytedance Seed; The University oThe Australian NationalPekingRenmin University of ChinaChinese University of Hong KongLLM pretraining & scaling laws

Continuous Latent Diffusion Language Model

Cola DLM is a hierarchical latent diffusion language model using continuous latent priors and block-causal DiTs to achieve scalable non-autoregressive text generation. It demonstrates strong scaling behavior and quality competitive with matched autoregressive baselines across benchmarks.

Hongcan Guo, Qinyu Zhao, Yian Zhao, Shen Nie and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 86 on Hugging Face · Code ★ 293

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 1/5