---
title: "Qingxiu Dong — papers of 2024 — 3 papers, the most cited first"
description: "Qingxiu Dong — papers of 2024: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Qingxiu Dong — papers of 2024 — 3 papers, the most cited first

3 papers · [all years of Qingxiu Dong](https://md.research.elamur.ai/free/en/authors/qingxiu-dong/#years)

**[Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.*2024 · 506 citations*

- [Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models arXiv:2410.07985](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/) — Bofei Gao, Feifan Song, Zhe Yang, et al. · 2024 · 163 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*