الباحثون

Liqian Peng

المنشورات 2

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Acceleration of Diffusion Language Model through Discrete Average Generator

Yidong Ouyang, Zhengyan Wan, Themis Haris وآخرون · 2026

Discrete diffusion models and flow matching have emerged as powerful frameworks for generative modeling over discrete state spaces, yet efficient few-step generation remains a fundamental challenge. In this work, we introduce the Discrete Average Generator, a principled extension of MeanFlow to Continuous-Time Markov C …

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MILO: Efficient Many-shot In-Context Learning with Block-wise Low-rank Compression

Youpeng Zhao, Tian Tan, Liqian Peng وآخرون · 2026

Many-shot in-context learning (ICL) enables large language models (LLMs) to adapt to complex tasks by conditioning on thousands of demonstration examples, but this paradigm shifts the inference efficiency bottleneck to the key-value (KV) cache memory. Due to the linear scaling behavior of the KV cache, storing these in …

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