---
title: "Nan Duan — papers of 2023 — 8 papers, the most cited first"
description: "Nan Duan — papers of 2023: 8 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/nan-duan/year/2023/"
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# Nan Duan — papers of 2023 — 8 papers, the most cited first

8 papers · [all years of Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/#years)

- [CMMLU: Measuring massive multitask language understanding in Chinese arXiv:2306.09212](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/) — Haonan Li, Yixuan Zhang, Fajri Koto, et al. · 2023 · 387 citations

**[Query Rewriting in Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinbei Ma, Yeyun Gong, Pengcheng He, et al.*2023 · 384 citations*

- [Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy arXiv:2305.15294](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/) — Zhihong Shao, Yeyun Gong, Yelong Shen, et al. · 2023 · 383 citations
- [Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models arXiv:2303.04671](https://md.research.elamur.ai/free/en/papers/wu-2023-visual-chatgpt-talking-drawing-editing/) — Chenfei Wu, Shengming Yin, Weizhen Qi, et al. · 2023 · 328 citations
- [CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing arXiv:2305.11738](https://md.research.elamur.ai/free/en/papers/gou-2023-critic-large-language-models-self/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · 2023 · 326 citations

**[Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data](https://md.research.elamur.ai/free/en/papers/xu-2023-baize-open-source-chat-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Canwen Xu, Daya Guo, Nan Duan, et al.*2023 · 296 citations*

- [ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving arXiv:2309.17452](https://md.research.elamur.ai/free/en/papers/gou-2023-tora-tool-integrated-reasoning-agent/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · 2023 · 225 citations
- [AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators arXiv:2303.16854](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/) — Xingwei He, Zhenghao Lin, Yeyun Gong, et al. · 2023 · 152 citations