3 papers
cs.AI2026
FlashDrive: Flash Vision-Language-Action Inference for Autonomous Driving
Zekai Li, Yihao Liang, Hongfei Zhang +3
Vision-Language-Action (VLA) models promise to bring end-to-end reasoning to autonomous driving, but their computational cost remains far too high for real-time control. The core c…
cs.CL2026
DFlash: Block Diffusion for Flash Speculative Decoding
Jian Chen, Yesheng Liang, Zhijian Liu
Autoregressive large language models (LLMs) deliver strong performance but require inherently sequential decoding, leading to high inference latency and poor GPU utilization. Specu…
cs.CL2026
ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference
Yesheng Liang, Haisheng Chen, Zihan Zhang +2
Post-training quantization (PTQ) compresses the weights and activations of large language models (LLMs) into low-precision representations to reduce memory footprint and accelerate…