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On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction

Diffusion language models (DLMs) promise parallel text generation, but in practice face an unresolved speed-quality trade-off. Exact decoding fills in only one masked position per model pass, while fa

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#8Rank now new
#8Best rank
221Score · 24h
84Score · 7d
1Days on list
1Snapshots
Oct 28, 2026First seen
▲ 18Latest metric

Summary

On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction was first seen on Hugging Face · Daily papers on Oct 28, 2026. Since then it appeared in 1 hourly check across 1 day, peaking at #8 on Oct 28, 03:28 UTC. It is #8 on the list right now.

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Position on Hugging Face · Daily papers at every check (lower is better).

#1#11#20#30 02:5803:1303:2803:4303:58 Oct 28, 03:28 UTC · #8

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On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction on TrendBoard
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