TraceQuery: learning what to recompute from full-denoising trajectory in diffusion language models
arXiv:2610.33008v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) enable flexible generation through iterative masked denoising, but incur substantial inference cost because token representations are repeatedly recomputed across denoising steps. Existing cache-based methods re…
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- 2026-10-27 04:00 · arXiv cs.CL
TraceQuery: learning what to recompute from full-denoising trajectory in diffusion language models