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cs.LG2025
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
StepFun, :, Bin Wang +195
Large language models (LLMs) face low hardware efficiency during decoding, especially for long-context reasoning tasks. This paper introduces Step-3, a 321B-parameter VLM with hard…
cs.LG2025
SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models
Hang Wu, Jianian Zhu, Yinghui Li +3
Large Language Models (LLMs) present a critical trade-off between inference quality and computational cost: larger models offer superior capabilities but incur significant latency,…