--- title: "Nan Duan — papers" description: "Nan Duan: 18 papers in the Elamur Research library (2017–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/nan-duan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nan-duan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nan Duan # Nan Duan 18 papers on this site (2017–2024) [OpenAlex](https://openalex.org/A5042018181) · [ORCID](https://orcid.org/0000-0002-3387-4674) · h-index 57 · 280 works · 16444 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models](https://md.research.elamur.ai/free/en/papers/zhong-2024-agieval-human-centric-benchmark-evaluating/) — Wanjun Zhong, Ruixiang Cui, Yiduo Guo, et al. · 2024 - [AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/) — Xingwei He, Zhenghao Lin, Yeyun Gong, et al. · 2023 - [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/) — Canwen Xu, Daya Guo, Nan Duan, et al. · 2023 - [CMMLU: Measuring massive multitask language understanding in Chinese](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/) — Haonan Li, Yixuan Zhang, Fajri Koto, et al. · 2023 - [CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing](https://md.research.elamur.ai/free/en/papers/gou-2023-critic-large-language-models-self/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · 2023 - [Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/) — Zhihong Shao, Yeyun Gong, Yelong Shen, et al. · 2023 - [Query Rewriting in Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/) — Xinbei Ma, Yeyun Gong, Pengcheng He, et al. · 2023 - [ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving](https://md.research.elamur.ai/free/en/papers/gou-2023-tora-tool-integrated-reasoning-agent/) — Zhibin Gou, Zhihong Shao, Yeyun Gong, et al. · 2023 - [Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models](https://md.research.elamur.ai/free/en/papers/wu-2023-visual-chatgpt-talking-drawing-editing/) — Chenfei Wu, Shengming Yin, Weizhen Qi, et al. · 2023 - [UniXcoder: Unified Cross-Modal Pre-training for Code Representation](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/) — Daya Guo, Shuai Lu, Nan Duan, et al. · 2022 - [GraphCodeBERT: Pre-training Code Representations with Data Flow](https://md.research.elamur.ai/free/en/papers/guo-2021-graphcodebert-pre-training-code-representations/) — Daya Guo, Shuo Ren, Shuai Lu, et al. · 2021 - [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/) — Zhangyin Feng, Daya Guo, Duyu Tang, et al. · 2020 - [K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/) — Ruize Wang, Duyu Tang, Nan Duan, et al. · 2020 - [ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training](https://md.research.elamur.ai/free/en/papers/qi-2020-prophetnet-predicting-future-n-gram/) — Weizhen Qi, Yu Yan, Yeyun Gong, et al. · 2020 - [Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) — Wanjun Zhong, Jingjing Xu, Duyu Tang, et al. · 2020 - [XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation](https://md.research.elamur.ai/free/en/papers/liang-2020-xglue-new-benchmark-dataset-cross/) — Yaobo Liang, Nan Duan, Yeyun Gong, et al. · 2020 - [Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks](https://md.research.elamur.ai/free/en/papers/huang-2019-unicoder-universal-language-encoder-pre/) — Haoyang Huang, Yaobo Liang, Nan Duan, et al. · 2019 - [Question Generation for Question Answering](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/) — Nan Duan, Duyu Tang, Peng Chen, et al. · 2017