Duan, Nan

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Software Engineering ResearchTopic Modeling

Cited by 2,824

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training

Li, G., Duan, N., Fang, Y., Gong, M., & Jiang, D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 795

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Guo, D., Lu, S., Duan, N., Wang, Y., Zhou, M., & Yin, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTopic Modeling

Cited by 673

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Gou, Z., Shao, Z., Gong, Y., Shen, Y., Yang, Y., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 561

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

GraphCodeBERT: Pre-training Code Representations with Data Flow

Guo, D., Ren, S., Lu, S., Feng, Z., Tang, D., Liu, S., Zhou, L., Duan, N., Svyatkovskiy, A., Fu, S., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 480

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 243

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Zhong, W., Cui, R., Guo, Y., Liang, Y., Lu, S., Wang, Y., Saied, A., Chen, W., & Duan, N. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 211

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Zhong, W., Cui, R., Guo, Y., Liang, Y., Lu, S., Wang, Y., Saied, A., Chen, W., & Duan, N. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Topic ModelingArtificial Intelligence Applications

Cited by 211

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingInformation Retrieval and Search Behavior

Cited by 200

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 200

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Wu, C., Yin, S., Qi, W., Wang, X., Tang, Z., & Duan, N. (2023) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 197

Reasoning Over Semantic-Level Graph for Fact Checking

Zhong, W., Xu, J., Tang, D., Xu, Z., Duan, N., Zhou, M., Wang, J., & Yin, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Misinformation and Its ImpactsTopic Modeling

Cited by 151

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Liang, Y., Wu, C., Song, T., Wu, W., Xia, Y., Liu, Y., Ou, Y., Lu, S., Ji, L., Mao, S., et al. (2024) · Intelligent Computing

Artificial Intelligence ApplicationsTopic Modeling

Cited by 108

ReACC: A Retrieval-Augmented Code Completion Framework

Lu, S., Duan, N., Han, H., Guo, D., Hwang, S.-W., & Svyatkovskiy, A. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 96

GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Wu, C., Huang, L., Zhang, Q., Li, B., Ji, L., Yang, F., Sapiro, G., & Duan, N. (2021) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 85

XGPT: Cross-modal Generative Pre-Training for Image Captioning

Xia, Q., Huang, H., Duan, N., Zhang, D., Ji, L., Sui, Z., Cui, E., Bharti, T., & Zhou, M. (2021) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 70

M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training

Ni, M., Huang, H., Su, L., Cui, E., Bharti, T., Wang, L., Zhang, D., & Duan, N. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 57

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

He, X., Lin, Z., Gong, Y., Jin, A.-L., Zhang, H., Lin, C., Jiao, J., Yiu, S. M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 34

Logiqa 2.0—An improved dataset for logical reasoning in natural language understanding

Liu, H., Liu, J., Cui, L., Teng, Z., Duan, N., Zhou, M., & Zhang, Y. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 26

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Gou, Z., Shao, Z., Gong, Y., Shen, Y., Yang, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 24

LongCoder: A Long-Range Pre-trained Language Model for Code Completion

Guo, D., Xu, C., Duan, N., Yin, J., & McAuley, J. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 16

Query Rewriting for Retrieval-Augmented Large Language Models

Ma, X., Gong, Y., He, P., Zhao, H., & Duan, N. (2023) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 14

Question Generation With Doubly Adversarial Nets

Bao, J., Gong, Y., Duan, N., Zhou, M., & Zhao, T. (2018) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 14