On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction
arXiv:2610.22543v1 Announce Type: new Abstract: 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 faster multi-token decoding schemes are lossy. Specul…
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- 2026-10-19 04:00 · arXiv cs.LG
On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction