PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models

arXiv:2609.26249 · cs.CL · Submitted 2026-08-13 · Read on arXiv

cs.CL

Submitted: 2026-08-13

Updated: 2026-08-13

Comments: 11 pages, 5 figures, 2 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 22× in this paper · explained in 1 episode
• Benchmark — 18× in this paper · explained in 2 episodes
• Abstraction — 6× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• KV cache — 3× in this paper · explained in 3 episodes
• Block Diffusion — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Adaptivity — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Program Synthesis with Large Language Models
• Evaluating Large Language Models Trained on Code
• Training Verifiers to Solve Math Word Problems
• Large Language Diffusion Models
• When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models
• DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference
• Dream 7B: Diffusion Large Language Models

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