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LLM inference acceleration

2 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Oct 19, 2026 · Artificial Intelligence

AdaFlash: Adaptive Speculative Decoding with Online Self-Improvement for High-Concurrency LLM Inference

Nanjing University and Huawei's Foundation Model team introduce AdaFlash, an adaptive speculative decoding framework that enables diffusion draft models to self-improve online via on-policy distillation and dynamic verification length prediction, achieving up to 5.32x end-to-end speedup on Qwen3-8B and 66% higher throughput under high concurrency.

AdaFlashLLM inference accelerationadaptive verification
0 likes · 17 min read
AdaFlash: Adaptive Speculative Decoding with Online Self-Improvement for High-Concurrency LLM Inference
Machine Heart
Machine Heart
Oct 15, 2026 · Artificial Intelligence

SpecTr-GBV: Unifying Multi-Draft and Block Verification for Faster Speculative Decoding

SpecTr-GBV unifies multi-draft generation and greedy block verification into a single speculative decoding framework using optimal transport, achieving optimal expected acceptance length under conditionally independent couplings and outperforming SpecTr and GBV across five benchmarks with higher block efficiency and speedup.

Block VerificationConditionally Independent CouplingsGreedy Block Verification
0 likes · 14 min read
SpecTr-GBV: Unifying Multi-Draft and Block Verification for Faster Speculative Decoding