A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding
Yuesong Liu, Yuan Zeng, Min Lyu, Ruilin Liu, Yu Guo, Yinlong Xu
cs.CL
Submitted: 2026-07-30
Comments: 9 pages, 4 figures, subbmited to AAAI 2027
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
- PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
- Accelerating Large Language Model Decoding with Speculative Sampling
- RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding
- FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
- Better & Faster Large Language Models via Multi-token Prediction
- RULER: What's the Real Context Size of Your Long-Context Language Models?
- EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
- Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models
- MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
- TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
- Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
- Efficient Streaming Language Models with Attention Sinks
- Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention
- Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding
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