Archer: Adaptive Reuse of Cached Hidden States for Efficient Rollback in Diffusion Language Models

arXiv:2608.08086 · cs.CL · Submitted 2026-08-11 · Read on arXiv

Xuning He, Zinan Sheng, Yongding Tao, Huanyu Liu, Ge Li, Xue Jiang, Yihong Dong

cs.CL

Submitted: 2026-08-11

Updated: 2026-08-12

Code: https://github.com/Hxnng/Archer

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

Terminology

Benchmark — 15× in this paper · explained in 2 episodes
Decode — 9× in this paper · explained in 2 episodes
Accuracy — 8× in this paper · explained in 1 episode
Fidelity — 7× in this paper · explained in 2 episodes
Diffusion Model — 5× in this paper · explained in 8 episodes
Diffusion Models — 5× in this paper · explained in 6 episodes
Extended Test Cases — 4× in this paper
Transformer — 4× in this paper · explained in 2 episodes
Calibration — 3× in this paper · explained in 7 episodes
Embeddings — 3× in this paper · explained in 2 episodes
Approximation Bound — 2× in this paper · explained in 1 episode
Generalization — 2× in this paper · explained in 13 episodes
Hamming Distance — 2× in this paper · explained in 2 episodes
Sparse Attention — 2× in this paper · explained in 5 episodes
Action Space — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Block Diffusion — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Robustness — 1× in this paper · explained in 5 episodes
Tokenization — 1× in this paper · explained in 2 episodes

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