Reciprocal Guidance: Orchestrating Draft and Verify Budgets for Advancing the Diffusion-AR Self-Speculation Frontier

arXiv:2609.34388 · cs.CL · Submitted 2026-09-28 · Read on arXiv

cs.CL

Submitted: 2026-09-28

Updated: 2026-09-28

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

Terminology

• Verification — 57× in this paper · explained in 2 episodes
• Speculative Decoding — 29× in this paper · explained in 2 episodes
• Verifier — 12× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Block Diffusion — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptive Selection — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• RecGuide on Nemotron-Labs-Diffusion — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Program Synthesis with Large Language Models
• LLaDA2.0: Scaling Up Diffusion Language Models to 100B
• Accelerating Large Language Model Decoding with Speculative Sampling
• DFlash: Block Diffusion for Flash Speculative Decoding
• Evaluating Large Language Models Trained on Code
• Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
• DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
• Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding
• Speculative Speculative Decoding
• SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
• ReTrace: Rejected-Trajectory Conditioning for Speculative Decoding
• AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding
• D-cut: Adaptive Verification Depth Pruning for Batched Speculative Decoding
• GPQA: A Graduate-Level Google-Proof Q&A Benchmark
• Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models
• Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?
• Dream 7B: Diffusion Large Language Models
• FlexDraft: Flexible Speculative Decoding via Attention Tuning and Bonus-Guided Calibration
• Instruction-Following Evaluation for Large Language Models

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