---
title: "Tao Ge — papers of 2024 — 2 papers, the most cited first"
description: "Tao Ge — papers of 2024: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Tao Ge — papers of 2024 — 2 papers, the most cited first

2 papers · [all years of Tao Ge](https://md.research.elamur.ai/free/en/authors/tao-ge/#years)

- [Scaling Synthetic Data Creation with 1,000,000,000 Personas arXiv:2406.20094](https://md.research.elamur.ai/free/en/papers/ge-2024-scaling-synthetic-data-creation-1/) — Tao Ge, Xin Chan, Xiaoyang Wang, et al. · 2024 · 171 citations

**[Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding](https://md.research.elamur.ai/free/en/papers/xia-2024-unlocking-efficiency-large-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Heming Xia, Zhe Yang, Qingxiu Dong, et al.*2024 · 146 citations*