101 citations · 102 across the 4 of their papers we have counts for
4 papers
Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs
Alan Zhu, Jiaqi Ma, Qiaozhu Mei
As large graph datasets become increasingly common across many fields, sampling is often needed to reduce the graphs into manageable sizes. This procedure raises critical questions…
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…
Accelerating Retrieval-Augmented Language Model Serving with Speculation
Zhihao Zhang, Alan Zhu, Lijie Yang +4
Retrieval-augmented language models (RaLM) have demonstrated the potential to solve knowledge-intensive natural language processing (NLP) tasks by combining a non-parametric knowle…
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…