---
title: "Zhengyang Tang — papers of 2024 — Elamur Research"
description: "Zhengyang Tang — papers of 2024: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/zhengyang-tang/year/2024/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhengyang-tang/year/2024/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Zhengyang Tang](https://md.research.elamur.ai/free/en/authors/zhengyang-tang/) / 2024

# Zhengyang Tang — papers of 2024 — Elamur Research

3 papers · [all years of Zhengyang Tang](https://md.research.elamur.ai/free/en/authors/zhengyang-tang/#years)

- [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
- [MathScale: Scaling Instruction Tuning for Mathematical Reasoning arXiv:2403.02884](https://md.research.elamur.ai/free/en/papers/tang-2024-mathscale-scaling-instruction-tuning-mathematical/) — Zhengyang Tang, Xingxing Zhang, Benyou Wang, et al. · 2024 · 83 citations
- [Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models arXiv:2402.13064](https://md.research.elamur.ai/free/en/papers/li-2024-synthetic-data-almost-scratch-generalized/) — Haoran Li, Qingxiu Dong, Zhengyang Tang, et al. · 2024 · 65 citations