---
title: "Nan Duan — all works — Elamur Research"
description: "All 45 works of Nan Duan in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/nan-duan/works/"
---
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# Nan Duan — all works

45 works · [← Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/)

1. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyin Feng, Daya Guo, Duyu Tang, et al.*2020 · 2,967 citations*
2. **[Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training ↗](https://doi.org/10.1609/aaai.v34i07.6795) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Gen Li et al.*2020 · 925 citations*
3. **[UniXcoder: Unified Cross-Modal Pre-training for Code Representation](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daya Guo, Shuai Lu, Nan Duan, et al.*2022 · 769 citations*
4. [**K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters arXiv:2002.01808**Ruize Wang, Duyu Tang, Nan Duan, et al.*2020 · 666 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)
5. **[AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models](https://md.research.elamur.ai/free/en/papers/zhong-2024-agieval-human-centric-benchmark-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.*2024 · 575 citations*
6. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weizhen Qi, Yu Yan, Yeyun Gong, et al.*2020 · 453 citations*
7. [**CMMLU: Measuring massive multitask language understanding in Chinese arXiv:2306.09212**Haonan Li, Yixuan Zhang, Fajri Koto, et al.*2023 · 387 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/)
8. **[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*
9. [**Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy arXiv:2305.15294**Zhihong Shao, Yeyun Gong, Yelong Shen, et al.*2023 · 383 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/)
10. **[Question Generation for Question Answering](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nan Duan, Duyu Tang, Peng Chen, et al.*2017 · 372 citations*
11. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yaobo Liang, Nan Duan, Yeyun Gong, et al.*2020 · 358 citations*
12. [**GraphCodeBERT: Pre-training Code Representations with Data Flow arXiv:2009.08366**Daya Guo, Shuo Ren, Shuai Lu, et al.*2021 · 332 citations*](https://md.research.elamur.ai/free/en/papers/guo-2021-graphcodebert-pre-training-code-representations/)
13. [**Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models arXiv:2303.04671**Chenfei Wu, Shengming Yin, Weizhen Qi, et al.*2023 · 328 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-visual-chatgpt-talking-drawing-editing/)
14. [**CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing arXiv:2305.11738**Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.*2023 · 326 citations*](https://md.research.elamur.ai/free/en/papers/gou-2023-critic-large-language-models-self/)
15. **[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*
16. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Haoyang Huang, Yaobo Liang, Nan Duan, et al.*2019 · 265 citations*
17. **[Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering ↗](https://doi.org/10.1609/aaai.v34i05.6364) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shangwen Lv et al.*2020 · 247 citations*
18. **[Constraint-Based Question Answering with Knowledge Graph](https://md.research.elamur.ai/free/en/papers/bao-2016-constraint-based-question-answering-knowledge/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Junwei Bao, Nan Duan, Zhao Yan, et al.*2016 · 228 citations*
19. [**ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving arXiv:2309.17452**Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.*2023 · 225 citations*](https://md.research.elamur.ai/free/en/papers/gou-2023-tora-tool-integrated-reasoning-agent/)
20. **[Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge ↗](https://aclanthology.org/2021.acl-long.62/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Linmei Hu et al.*2021 · 225 citations*
21. **[Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 222 citations*
22. **[Building Task-Oriented Dialogue Systems for Online Shopping ↗](https://doi.org/10.1609/aaai.v31i1.11182) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhao Yan et al.*2017 · 195 citations*
23. **[Joint Type Inference on Entities and Relations via Graph Convolutional Networks ↗](https://aclanthology.org/P19-1131/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Changzhi Sun et al.*2019 · 157 citations*
24. [**AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators arXiv:2303.16854**Xingwei He, Zhenghao Lin, Yeyun Gong, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/)
25. **[Graph Neural News Recommendation with Unsupervised Preference Disentanglement ↗](https://aclanthology.org/2020.acl-main.392/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Linmei Hu et al.*2020 · 146 citations*
26. **[WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach ↗](https://aclanthology.org/2021.findings-emnlp.23/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Junjie Huang et al.*2021 · 128 citations*
27. **[ReACC: A Retrieval-Augmented Code Completion Framework](https://md.research.elamur.ai/free/en/papers/lu-2022-reacc-retrieval-augmented-code-completion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuai Lu, Nan Duan, Hojae Han, et al.*2022 · 125 citations*
28. **[DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents ↗](https://aclanthology.org/P16-1049/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhao Yan et al.*2016 · 123 citations*
29. **[Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base ↗](https://aclanthology.org/D19-1248/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Tao Shen et al.*2019 · 110 citations*
30. **[CoSQA: 20,000+ Web Queries for Code Search and Question Answering ↗](https://aclanthology.org/2021.acl-long.442/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Junjie Huang et al.*2021 · 99 citations*
31. **[Semantic Parsing with Syntax- and Table-Aware SQL Generation ↗](https://aclanthology.org/P18-1034/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yibo Sun et al.*2018 · 88 citations*
32. **[Question Generation from SQL Queries Improves Neural Semantic Parsing ↗](https://aclanthology.org/D18-1188/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Daya Guo et al.*2018 · 82 citations*
33. **[RikiNet: Reading Wikipedia Pages for Natural Question Answering ↗](https://aclanthology.org/2020.acl-main.604/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Dayiheng Liu et al.*2020 · 78 citations*
34. **[Dense Procedure Captioning in Narrated Instructional Videos ↗](https://aclanthology.org/P19-1641/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Botian Shi et al.*2019 · 77 citations*
35. **[Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension ↗](https://aclanthology.org/2020.acl-main.599/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Bo Zheng et al.*2020 · 72 citations*
36. **[Mask Attention Networks: Rethinking and Strengthen Transformer ↗](https://aclanthology.org/2021.naacl-main.135/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Zhihao Fan et al.*2021 · 69 citations*
37. **[NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation ↗](https://aclanthology.org/2023.acl-long.73/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shengming Yin et al.*2023 · 66 citations*
38. [**Rho-1: Not All Tokens Are What You Need arXiv:2404.07965**Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.*2024 · 59 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-rho-1-all-tokens-need/)
39. **[Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning ↗](https://arxiv.org/abs/2403.02333) arXiv:2403.02333 · no summary yet**Yiming Huang et al.*2024 · 45 citations*
40. **[Code Execution with Pre-trained Language Models ↗](https://aclanthology.org/2023.findings-acl.308/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Chenxiao Liu et al.*2023 · 38 citations*
41. **[Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning ↗](https://arxiv.org/abs/1909.05438) arXiv:1909.05438 · no summary yet**Yibo Sun et al.*2019 · 38 citations*
42. **[A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos ↗](https://aclanthology.org/2020.nlpbt-1.4/) Proceedings of the First International Workshop on Natural Language Processing Beyond Text · no summary yet**Frank F. Xu et al.*2020 · 27 citations*
43. [**Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model arXiv:2502.10248**Guoqing Ma, Haoyang Huang, Kun Yan, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ma-2025-step-video-t2v-technical/)
44. **[Paraphrasing Adaptation for Web Search Ranking ↗](https://aclanthology.org/P13-2008/) Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Chenguang Wang et al.*2013 · 11 citations*
45. **[Forced Derivation Tree based Model Training to Statistical Machine Translation ↗](https://aclanthology.org/D12-1041/) Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning · no summary yet**Nan Duan, Mu Li, Ming Zhou*2012 · 4 citations*