pengju ren

Speculative decoding has emerged as a promising technique to accelerate large language model inference by employing a smaller draft model to predict multiple tokens, which are then verified in parallel by the larger target model. However, existing approaches face a fundamental limitation: candida...

While Large Language Models (LLMs) have emerged with remarkable capabilities in complex tasks through Chain-of-Thought (CoT) reasoning, practical resource constraints have sparked interest in transferring these abilities to smaller models. However, achieving both domain performance and cross-doma...