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cs.LG2026
LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing
Jiawei Hao, Zhiwei Hao, Jianyuan Guo +4
Mixture-of-Experts (MoE) based Large Language Models (LLMs) have demonstrated impressive performance and computational efficiency. However, their deployment is often constrained by…
cs.LG2026
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding
Zhongyu Xiao, Zhiwei Hao, Jianyuan Guo +4
Diffusion Large Language Models (dLLMs) offer a compelling paradigm for natural language generation, leveraging parallel decoding and bidirectional attention to achieve superior gl…