101 citations · 102 across the 4 of their papers we have counts for
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cs.CL2025
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
Alan Zhu, Parth Asawa, Jared Quincy Davis +5
As the demand for high-quality data in model training grows, researchers and developers are increasingly generating synthetic data to tune and train LLMs. However, current data gen…
cs.CL2023★ 101 cited
SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +12
This paper introduces SpecInfer, a system that accelerates generative large language model (LLM) serving with tree-based speculative inference and verification. The key idea behind…