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cs.CL2024
MoDification: Mixture of Depths Made Easy
Chen Zhang, Meizhi Zhong, Qimeng Wang +8
Long-context efficiency has recently become a trending topic in serving large language models (LLMs). And mixture of depths (MoD) is proposed as a perfect fit to bring down both la…
cs.CL2024
Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
Chen Zhang, Zhuorui Liu, Dawei Song
With the increasingly giant scales of (causal) large language models (LLMs), the inference efficiency comes as one of the core concerns along the improved performance. In contrast…