2026
Cost-Aware Dynamic Tree Construction for Efficient Large Language Model Inference
ICLR 2026poster
Large Language Models (LLMs) face significant inference latency challenges stemming from their autoregressive design and large size. To address this, speculative decoding emerges as a solution, enabling the simultaneous generation and validation of multiple tokens. While recent approaches like EAGLE…