---
title: "Min Zhang — papers of 2023 — 4 papers, the most cited first"
description: "Min Zhang — papers of 2023: 4 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/min-zhang/year/2023/"
---
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# Min Zhang — papers of 2023 — 4 papers, the most cited first

4 papers · [all years of Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/#years)

**[Towards Making the Most of ChatGPT for Machine Translation](https://md.research.elamur.ai/free/en/papers/peng-2023-making-most-chatgpt-machine-translation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keqin Peng, Liang Ding, Qihuang Zhong, et al.*2023 · 190 citations*

- [Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration arXiv:2311.08152](https://md.research.elamur.ai/free/en/papers/xu-2023-towards-reasoning-large-language-models/) — Zhenran Xu, Senbao Shi, Baotian Hu, et al. · 2023 · 29 citations

**[Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !](https://md.research.elamur.ai/free/en/papers/tang-2023-can-diffusion-model-achieve-better/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.*2023 · 18 citations*

- [Constituency Parsing using LLMs arXiv:2310.19462](https://md.research.elamur.ai/free/en/papers/bai-2023-constituency-parsing-using-llms/) — Xuefeng Bai, Jialong Wu, Yulong Chen, et al. · 2023 · 14 citations