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Nan Duan
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Journal Articles
- 2023
- [j25]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving task generalization via unified schema prompt. AI Open 4: 120-129 (2023) - [j24]Fan Zhang, Meishan Zhang, Shuang Liu, Yueheng Sun, Nan Duan:
Enhancing RDF Verbalization with Descriptive and Relational Knowledge. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 174:1-174:18 (2023) - [j23]Hanmeng Liu, Jian Liu, Leyang Cui, Zhiyang Teng, Nan Duan, Ming Zhou, Yue Zhang:
LogiQA 2.0 - An Improved Dataset for Logical Reasoning in Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2947-2962 (2023) - [j22]Guozhou Zhang, Junbo Zhao, Weihao Hu, Di Cao, Innocent Kamwa, Nan Duan, Zhe Chen:
A Multiagent Deep Reinforcement Learning-Enabled Dual-Branch Damping Controller for Multimode Oscillation. IEEE Trans. Control. Syst. Technol. 31(1): 483-492 (2023) - 2022
- [j21]Bendong Tan, Junbo Zhao, Nan Duan, Daniel Adrian Maldonado, Yingchen Zhang, Hongming Zhang, Mihai Anitescu:
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(1): 161-171 (2022) - [j20]Lei Ji, Rong-Cheng Tu, Kevin Lin, Lijuan Wang, Nan Duan:
Multimodal graph neural network for video procedural captioning. Neurocomputing 488: 88-96 (2022) - [j19]Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning. Neurocomputing 508: 293-304 (2022) - [j18]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2201-2216 (2022) - [j17]Nan Duan, Yuhu Wu, Xi-Ming Sun, Chongquan Zhong:
An Amplitude-Frequency Curve-Based Parameter Sensitivity Analysis for the Conveying Fluid Pipe. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1762-1766 (2022) - [j16]Nan Duan, Can Huang, Chih-Che Sun, Liang Min:
Smart Meters Enabling Voltage Monitoring and Control: The Last-Mile Voltage Stability Issue. IEEE Trans. Ind. Informatics 18(1): 677-687 (2022) - [j15]Jian Zhao, Weizhen Qi, Wengang Zhou, Nan Duan, Ming Zhou, Houqiang Li:
Conditional Sentence Generation and Cross-Modal Reranking for Sign Language Translation. IEEE Trans. Multim. 24: 2662-2672 (2022) - [j14]Can Huang, Chih-Che Sun, Nan Duan, Yuming Jiang, Chloe Applegate, Peter D. Barnes Jr., Emma M. Stewart:
Smart Meter Pinging and Reading Through AMI Two-Way Communication Networks to Monitor Grid Edge Devices and DERs. IEEE Trans. Smart Grid 13(5): 4144-4153 (2022) - [j13]Nan Duan, Yuhu Wu, Xi-Ming Sun, Chongquan Zhong:
Lyapunov-Based Stability Analysis for Fluid Conveying System With Parallel Nonlinear Energy Sinks. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6921-6936 (2022) - 2021
- [j12]Mohammad Mohammadinodoushan, Bertrand Cambou, Christopher Robert Philabaum, Nan Duan:
Resilient Password Manager Using Physical Unclonable Functions. IEEE Access 9: 17060-17070 (2021) - [j11]Nan Duan, Sida Lin, Yuhu Wu, Xi-Ming Sun, Chongquan Zhong:
Stability analysis of a pipe conveying fluid with a nonlinear energy sink. Sci. China Inf. Sci. 64(5) (2021) - [j10]Nan Duan, Yuhu Wu, Xi-Ming Sun, Chongquan Zhong:
Vibration Control of Conveying Fluid Pipe Based on Inerter Enhanced Nonlinear Energy Sink. IEEE Trans. Circuits Syst. I Regul. Pap. 68(4): 1610-1623 (2021) - [j9]Mei Wang, Nan Duan, Zou Zhou, Fei Zheng, Hongbing Qiu, Xiaopeng Li, Guoli Zhang:
Indoor PDR Positioning Assisted by Acoustic Source Localization, and Pedestrian Movement Behavior Recognition, Using a Dual-Microphone Smartphone. Wirel. Commun. Mob. Comput. 2021: 9981802:1-9981802:16 (2021) - 2020
- [j8]Kai Zhang, Guanghua Xu, Longting Chen, Peiyuan Tian, Chengcheng Han, Sicong Zhang, Nan Duan:
Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks. Comput. Math. Methods Medicine 2020: 1683013:1-1683013:10 (2020) - [j7]Kai Zhang, Guanghua Xu, Zezhen Han, Kaiquan Ma, Xiaowei Zheng, Longting Chen, Nan Duan, Sicong Zhang:
Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network. Sensors 20(16): 4485 (2020) - [j6]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - [j5]Nan Duan, Emma M. Stewart:
Frequency Event Categorization in Power Distribution Systems Using Micro PMU Measurements. IEEE Trans. Smart Grid 11(4): 3043-3053 (2020) - 2019
- [j4]Yibo Sun, Zhao Yan, Duyu Tang, Nan Duan, Bing Qin:
Content-based table retrieval for web queries. Neurocomputing 349: 183-189 (2019) - [j3]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao:
Text Generation From Tables. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 311-320 (2019) - 2018
- [j2]Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li:
Response selection from unstructured documents for human-computer conversation systems. Knowl. Based Syst. 142: 149-159 (2018) - [j1]Junwei Bao, Yeyun Gong, Nan Duan, Ming Zhou, Tiejun Zhao:
Question Generation With Doubly Adversarial Nets. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2230-2239 (2018)
Conference and Workshop Papers
- 2024
- [c189]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. AAAI 2024: 6431-6439 - [c188]Yaobo Liang, Quanzhi Zhu, Junhe Zhao, Nan Duan:
Machine-Created Universal Language for Cross-Lingual Transfer. AAAI 2024: 18617-18625 - [c187]Minheng Ni, Chenfei Wu, Xiaodong Wang, Shengming Yin, Lijuan Wang, Zicheng Liu, Nan Duan:
ORES: Open-Vocabulary Responsible Visual Synthesis. AAAI 2024: 21473-21481 - [c186]Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan:
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. ACL (1) 2024: 1429-1450 - [c185]Lichen Zhang, Shuai Lu, Nan Duan:
Selene: Pioneering Automated Proof in Software Verification. ACL (1) 2024: 1776-1789 - [c184]Yiduo Guo, Zekai Zhang, Yaobo Liang, Dongyan Zhao, Nan Duan:
PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion. ACL (Findings) 2024: 8682-8701 - [c183]Yiduo Guo, Yaobo Liang, Dongyan Zhao, Nan Duan:
Large Language Models Can Learn Representation in Natural Language. ACL (Findings) 2024: 9145-9154 - [c182]Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, Timothy Baldwin:
CMMLU: Measuring massive multitask language understanding in Chinese. ACL (Findings) 2024: 11260-11285 - [c181]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. ACL (Findings) 2024: 13526-13544 - [c180]Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan:
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization. LREC/COLING 2024: 13103-13119 - [c179]Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen:
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. ICLR 2024 - [c178]Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen:
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. ICLR 2024 - [c177]Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan:
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models. ICLR 2024 - [c176]Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, Jianguo Zhang:
Using Left and Right Brains Together: Towards Vision and Language Planning. ICML 2024 - [c175]Zecheng Tang, Chenfei Wu, Zekai Zhang, Minheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan:
StrokeNUWA - Tokenizing Strokes for Vector Graphic Synthesis. ICML 2024 - [c174]Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Nan Duan, Furu Wei:
Low-code LLM: Graphical User Interface over Large Language Models. NAACL (Demonstrations) 2024: 12-25 - [c173]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. NAACL (Industry Track) 2024: 165-190 - [c172]Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan:
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models. NAACL-HLT (Findings) 2024: 2299-2314 - [c171]Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan:
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. NAACL-HLT (Findings) 2024: 4074-4101 - [c170]Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. WSDM 2024: 655-664 - 2023
- [c169]Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning. AAAI 2023: 10637-10647 - [c168]Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka:
Constructing Multilingual Code Search Dataset Using Neural Machine Translation. ACL (student) 2023: 69-75 - [c167]Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Ming Gong, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan:
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation. ACL (1) 2023: 1309-1320 - [c166]Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. ACL (1) 2023: 4002-4017 - [c165]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. ACL (Findings) 2023: 4984-4999 - [c164]Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan:
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. ACL (Findings) 2023: 7587-7600 - [c163]Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen:
Joint Generator-Ranker Learning for Natural Language Generation. ACL (Findings) 2023: 7681-7699 - [c162]Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, Wing Kwong Chan, Chong-Wah Ngo, Mike Zheng Shou, Nan Duan:
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding. ACL (1) 2023: 8013-8028 - [c161]Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. ACL (1) 2023: 14507-14525 - [c160]Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
ReCo: Region-Controlled Text-to-Image Generation. CVPR 2023: 14246-14255 - [c159]Hojae Han, Minsoo Kim, Seung-won Hwang, Nan Duan, Shuai Lu:
Intervention-Based Alignment of Code Search with Execution Feedback. EMNLP (Findings) 2023: 2241-2263 - [c158]Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan:
Allies: Prompting Large Language Model with Beam Search. EMNLP (Findings) 2023: 3794-3805 - [c157]Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan:
Query Rewriting in Retrieval-Augmented Large Language Models. EMNLP 2023: 5303-5315 - [c156]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. EMNLP 2023: 6268-6278 - [c155]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. EMNLP (Findings) 2023: 9248-9274 - [c154]Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan:
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. EMNLP 2023: 10531-10541 - [c153]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. ICLR 2023 - [c152]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. ICML 2023: 12098-12107 - [c151]Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen:
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise. ICML 2023: 21051-21064 - [c150]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. ICML 2023: 30706-30775 - [c149]Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. IJCAI 2023: 1506-1514 - [c148]Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen:
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. NeurIPS 2023 - [c147]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) 2023: 630-647 - [c146]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. WWW 2023: 3299-3308 - 2022
- [c145]Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan:
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge. AAAI 2022: 10840-10848 - [c144]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. ACL (Findings) 2022: 1619-1629 - [c143]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. ACL (Findings) 2022: 3557-3569 - [c142]Yuan Chai, Yaobo Liang, Nan Duan:
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure. ACL (1) 2022: 4702-4712 - [c141]Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan:
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation. ACL (1) 2022: 4852-4864 - [c140]Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. ACL (1) 2022: 4865-4877 - [c139]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. ACL (1) 2022: 5990-6000 - [c138]Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy:
ReACC: A Retrieval-Augmented Code Completion Framework. ACL (1) 2022: 6227-6240 - [c137]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. ACL (1) 2022: 7212-7225 - [c136]Kohei Uehara, Nan Duan, Tatsuya Harada:
Learning to Ask Informative Sub-Questions for Visual Question Answering. CVPR Workshops 2022: 4680-4689 - [c135]Estelle Aflalo, Meng Du, Shao-Yen Tseng, Yongfei Liu, Chenfei Wu, Nan Duan, Vasudev Lal:
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. CVPR 2022: 21374-21383 - [c134]Kun Yan, Lei Ji, Chenfei Wu, Jianmin Bao, Ming Zhou, Nan Duan, Shuai Ma:
Trace Controlled Text to Image Generation. ECCV (36) 2022: 59-75 - [c133]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. ECCV (16) 2022: 720-736 - [c132]Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan:
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. EMNLP (Findings) 2022: 118-129 - [c131]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. EMNLP (Industry Track) 2022: 548-559 - [c130]Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan:
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. EMNLP 2022: 839-852 - [c129]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. EMNLP (Findings) 2022: 2342-2354 - [c128]Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan:
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. EMNLP 2022: 2898-2910 - [c127]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. EMNLP (Findings) 2022: 4117-4129 - [c126]Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan:
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. EMNLP 2022: 4984-4994 - [c125]Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan, Seungtaek Choi:
Towards Compositional Generalization in Code Search. EMNLP 2022: 10743-10750 - [c124]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Complete Code with Sketches. ICLR 2022 - [c123]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for Dense Text Retrieval. ICLR 2022 - [c122]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. IJCAI 2022: 4411-4417 - [c121]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [c120]Bendong Tan, Junbo Zhao, Weijia Liu, Nan Duan:
Interpretable Data-Driven Probabilistic Power System Load Margin Assessment with Uncertain Renewable Energy and Loads. ISGT Asia 2022: 56-60 - [c119]Yongjie Zhu, Chunhui Han, Yuefeng Zhan, Bochen Pang, Zhaoju Li, Hao Sun, Si Li, Boxin Shi, Nan Duan, Weiwei Deng, Ruofei Zhang, Liangjie Zhang, Qi Zhang:
AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search. ACM Multimedia 2022: 444-452 - [c118]Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
CULG: Commercial Universal Language Generation. NAACL-HLT (Industry Papers) 2022: 112-120 - [c117]Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan:
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. NAACL-HLT (Findings) 2022: 1589-1600 - [c116]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
Analytical Reasoning of Text. NAACL-HLT (Findings) 2022: 2306-2319 - [c115]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. NAACL-HLT 2022: 4230-4243 - [c114]Jian Liang, Chenfei Wu, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis. NeurIPS 2022 - [c113]Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao:
Less-forgetting Multi-lingual Fine-tuning. NeurIPS 2022 - [c112]Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou:
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training. NeurIPS 2022 - [c111]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
Automating code review activities by large-scale pre-training. ESEC/SIGSOFT FSE 2022: 1035-1047 - [c110]Lei Ji, Chenfei Wu, Daisy Zhou, Kun Yan, Edward Cui, Xilin Chen, Nan Duan:
Learning Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset. WACV 2022: 2733-2742 - 2021
- [c109]Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruofei Zhang:
FastSeq: Make Sequence Generation Faster. ACL (demo) 2021: 218-226 - [c108]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. ACL (demo) 2021: 232-239 - [c107]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c106]Rong-Cheng Tu, Lei Ji, Huaishao Luo, Botian Shi, Heyan Huang, Nan Duan, Xian-Ling Mao:
Hashing based Efficient Inference for Image-Text Matching. ACL/IJCNLP (Findings) 2021: 743-752 - [c105]Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou:
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. ACL/IJCNLP (1) 2021: 754-763 - [c104]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418 - [c103]Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan:
UserAdapter: Few-Shot User Learning in Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 1484-1488 - [c102]Kun Yan, Lei Ji, Huaishao Luo, Ming Zhou, Nan Duan, Shuai Ma:
Control Image Captioning Spatially and Temporally. ACL/IJCNLP (1) 2021: 2014-2025 - [c101]Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti:
GEM: A General Evaluation Benchmark for Multimodal Tasks. ACL/IJCNLP (Findings) 2021: 2594-2603 - [c100]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan:
Syntax-Enhanced Pre-trained Model. ACL/IJCNLP (1) 2021: 5412-5422 - [c99]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c98]Minheng Ni, Haoyang Huang, Lin Su, Edward Cui, Taroon Bharti, Lijuan Wang, Dongdong Zhang, Nan Duan:
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training. CVPR 2021: 3977-3986 - [c97]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. EMNLP (Findings) 2021: 238-244 - [c96]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. EMNLP (Findings) 2021: 881-894 - [c95]Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. EMNLP (Findings) 2021: 2918-2928 - [c94]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. EMNLP (1) 2021: 4713-4722 - [c93]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c92]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. ICML 2021: 8630-8639 - [c91]Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang:
EL-Attention: Memory Efficient Lossless Attention for Generation. ICML 2021: 11648-11658 - [c90]Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen:
Poolingformer: Long Document Modeling with Pooling Attention. ICML 2021: 12437-12446 - [c89]Nan Duan, Nathan Yee, Aaron Otis, Jhi-Young Joo, Emma M. Stewart, Aaron Bayles, Nan Spiers, Ed Cortez:
Mitigation Strategies Against Cyberattacks on Distributed Energy Resources. ISGT 2021: 1-5 - [c88]Mei Wang, Nan Duan, Zou Zhou, Hongbing Qiu, Xiaopeng Li, Fei Zheng:
Indoor Localization on Smartphone Using PDR and Sparse Deployed BLE Beacons in Large Open Area. IWCMC 2021: 141-148 - [c87]Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan:
Hybrid Reasoning Network for Video-based Commonsense Captioning. ACM Multimedia 2021: 5213-5221 - [c86]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. NAACL-HLT 2021: 1692-1701 - [c85]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c84]Weijiang Yu, Haoteng Zheng, Mengfei Li, Lei Ji, Lijun Wu, Nong Xiao, Nan Duan:
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering. NeurIPS 2021: 26462-26474 - [c83]Bolun Yao, Wei Chen, Yeyun Gong, Bartuer Zhou, Jin Xie, Zhongyu Wei, Biao Cheng, Nan Duan:
Question Generation from Code Snippets and Programming Error Messages. NLPCC (1) 2021: 401-412 - [c82]Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. NLPCC (1) 2021: 786-797 - [c81]Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou:
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. PAKDD (3) 2021: 325-337 - 2020
- [c80]Kyungjae Lee, Nan Duan, Lei Ji, Jason Li, Seung-won Hwang:
Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos. AAAI 2020: 8147-8154 - [c79]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020: 8449-8456 - [c78]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020: 8960-8967 - [c77]Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. AAAI 2020: 11336-11344 - [c76]Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. ACL 2020: 925-934 - [c75]Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou:
Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL 2020: 4255-4264 - [c74]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c73]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c72]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. ACL 2020: 6170-6180 - [c71]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. ACL 2020: 6708-6718 - [c70]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. ACL 2020: 6762-6771 - [c69]Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. COLING 2020: 2014-2025 - [c68]Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin:
Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing. COLING 2020: 3246-3256 - [c67]Zou Zhou, Nan Duan, Tingting Li, Miao Ye, Fei Zheng, Guoli Zhang, Ruonan Wang, Kaixuan Wang:
Human Moving Behavior Recognition Based on the D-S Evidence Theory and SVM utilizing Smartphone. DASC/PiCom/CBDCom/CyberSciTech 2020: 277-283 - [c66]Nan Duan, Duyu Tang, Ming Zhou:
Machine Reasoning: Technology, Dilemma and Future. EMNLP (Tutorial Abstracts) 2020: 1-6 - [c65]Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 54-64 - [c64]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c63]Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. EMNLP (Findings) 2020: 2401-2410 - [c62]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. EMNLP (1) 2020: 2461-2470 - [c61]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. EMNLP (1) 2020: 3895-3903 - [c60]Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. EMNLP (Findings) 2020: 4141-4150 - [c59]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. EMNLP (1) 2020: 5798-5810 - [c58]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) 2020: 6008-6018 - [c57]Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. EMNLP (1) 2020: 6241-6250 - [c56]Yongcheng Wu, Guanghua Xu, Yifan Wu, Bo Wang, Nan Duan, Liang Zeng, Zezhen Han, Sicong Zhang:
An Asynchronous Detection Algorithm for SSVEP-Based BCI Using Gradient Boosting Decision Tree. ICCPR 2020: 101-105 - [c55]Nan Duan, Chih-Che Sun, Ryan A. Mast, Pedro Sotorrio, Vaibhav Donde, Wei Ren, Inalvis Alvarez-Fernandez:
Parallel Transmission Distribution Co-simulation Leveraging A Commercial Distribution Simulator. ISGT-Europe 2020: 894-898 - [c54]Botian Shi, Lei Ji, Zhendong Niu, Nan Duan, Ming Zhou, Xilin Chen:
Learning Semantic Concepts and Temporal Alignment for Narrated Video Procedural Captioning. ACM Multimedia 2020: 4355-4363 - [c53]Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou:
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. NLPCC (2) 2020: 305-317 - 2019
- [c52]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. ACL (1) 2019: 855-866 - [c51]Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan:
Joint Type Inference on Entities and Relations via Graph Convolutional Networks. ACL (1) 2019: 1361-1370 - [c50]Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou:
Dense Procedure Captioning in Narrated Instructional Videos. ACL (1) 2019: 6382-6391 - [c49]Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun:
Asking Clarification Questions in Knowledge-Based Question Answering. EMNLP/IJCNLP (1) 2019: 1618-1629 - [c48]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP/IJCNLP (1) 2019: 2442-2451 - [c47]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. EMNLP/IJCNLP (1) 2019: 2485-2494 - [c46]Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin:
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching. EMNLP/IJCNLP (1) 2019: 6058-6062 - [c45]Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan:
Weakly Supervised Multi-task Learning for Semantic Parsing. IJCAI 2019: 3375-3381 - [c44]Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan:
Knowledge Aware Semantic Concept Expansion for Image-Text Matching. IJCAI 2019: 5182-5189 - [c43]Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo:
Collaborative Inference Of Missing Smart Electric Meter Data For A Building. MLSP 2019: 1-6 - [c42]Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Ming Zhou, Dawei Song:
A Tensorized Transformer for Language Modeling. NeurIPS 2019: 2229-2239 - [c41]Yikang Li, Tao Ma, Yeqi Bai, Nan Duan, Sining Wei, Xiaogang Wang:
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph. NeurIPS 2019: 3950-3960 - [c40]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-training. NLPCC (1) 2019: 16-28 - [c39]Nan Duan:
Overview of the NLPCC 2019 Shared Task: Open Domain Semantic Parsing. NLPCC (2) 2019: 811-817 - [c38]Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) 2019: 827-839 - [c37]Gaige Shi, Guanghua Xu, Haochong Wang, Nan Duan, Sicong Zhang:
Fuzzy-adaptive Impedance Control of Upper Limb Rehabilitation Robot Based on sEMG*. UR 2019: 745-749 - 2018
- [c36]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region With Natural Language. AAAI 2018: 5020-5027 - [c35]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-Based QA With Question-Aware Open Information Extraction. AAAI 2018: 6021-6028 - [c34]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) 2018: 361-372 - [c33]Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, Ming Zhou:
Visual Question Generation as Dual Task of Visual Question Answering. CVPR 2018: 6116-6124 - [c32]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. EMNLP 2018: 1597-1607 - [c31]Nan Duan, Chaitanya Baone, Anup Menon, Mustafa Dokucu:
Synchrophasor based dynamic model validation leveraging multiple events. ISGT 2018: 1-5 - [c30]Nan Duan, Aleksandar D. Dimitrovski, Srdjan Simunovic, Kai Sun, Junjian Qi, Jianhui Wang:
Embedding spatial decomposition in parareal in time power system simulation. ISGT 2018: 1-6 - [c29]Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. KDD 2018: 1880-1889 - [c28]Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv, Ming Zhou:
Learning to Collaborate for Question Answering and Asking. NAACL-HLT 2018: 1564-1574 - [c27]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. NeurIPS 2018: 2946-2955 - [c26]Nan Duan:
Overview of the NLPCC 2018 Shared Task: Open Domain QA. NLPCC (2) 2018: 452-456 - 2017
- [c25]Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li:
Building Task-Oriented Dialogue Systems for Online Shopping. AAAI 2017: 4618-4626 - [c24]Nan Duan, Duyu Tang, Peng Chen, Ming Zhou:
Question Generation for Question Answering. EMNLP 2017: 866-874 - [c23]Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao:
An Information Retrieval-Based Approach to Table-Based Question Answering. NLPCC 2017: 601-611 - [c22]Nan Duan, Duyu Tang:
Overview of the NLPCC 2017 Shared Task: Open Domain Chinese Question Answering. NLPCC 2017: 954-961 - 2016
- [c21]Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li, Jianshe Zhou:
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents. ACL (1) 2016 - [c20]Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao:
Constraint-Based Question Answering with Knowledge Graph. COLING 2016: 2503-2514 - [c19]Nan Duan, Aleksandar D. Dimitrovski, Srdjan Simunovic, Kai Sun:
Applying reduced generator models in the coarse solver of parareal in time parallel power system simulation. ISGT Europe 2016: 1-5 - [c18]Zhao Yan, Nan Duan, Ming Zhou, Zhoujun Li, Jianshe Zhou:
An Open Domain Topic Prediction Model for Answer Selection. NLPCC/ICCPOL 2016: 312-323 - [c17]Nan Duan:
Overview of the NLPCC-ICCPOL 2016 Shared Task: Open Domain Chinese Question Answering. NLPCC/ICCPOL 2016: 942-948 - 2015
- [c16]Pengcheng Yin, Nan Duan, Ben Kao, Junwei Bao, Ming Zhou:
Answering Questions with Complex Semantic Constraints on Open Knowledge Bases. CIKM 2015: 1301-1310 - [c15]Nan Duan:
Overview of the NLPCC 2015 Shared Task: Open Domain QA. NLPCC 2015: 562-570 - 2014
- [c14]Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao:
Knowledge-Based Question Answering as Machine Translation. ACL (1) 2014: 967-976 - [c13]Min-Chul Yang, Nan Duan, Ming Zhou, Hae-Chang Rim:
Joint Relational Embeddings for Knowledge-based Question Answering. EMNLP 2014: 645-650 - 2013
- [c12]Chenguang Wang, Nan Duan, Ming Zhou, Ming Zhang:
Paraphrasing Adaptation for Web Search Ranking. ACL (2) 2013: 41-46 - [c11]Nan Duan:
Minimum Bayes Risk based Answer Re-ranking for Question Answering. ACL (2) 2013: 424-428 - [c10]Hong Sun, Nan Duan, Yajuan Duan, Ming Zhou:
Answer Extraction from Passage Graph for Question Answering. IJCAI 2013: 2169-2175 - 2012
- [c9]Nan Duan, Mu Li, Ming Zhou:
Forced Derivation Tree based Model Training to Statistical Machine Translation. EMNLP-CoNLL 2012: 445-454 - 2011
- [c8]Nan Duan, Mu Li, Ming Zhou:
Hypothesis Mixture Decoding for Statistical Machine Translation. ACL 2011: 1258-1267 - [c7]Nan Duan, Mu Li, Ming Zhou, Lei Cui:
Improving Phrase Extraction via MBR Phrase Scoring and Pruning. MTSummit 2011 - 2010
- [c6]Nan Duan, Hong Sun, Ming Zhou:
Translation Model Generalization using Probability Averaging for Machine Translation. COLING 2010: 304-312 - [c5]Nan Duan, Mu Li, Dongdong Zhang, Ming Zhou:
Mixture Model-based Minimum Bayes Risk Decoding using Multiple Machine Translation Systems. COLING 2010: 313-321 - [c4]Chi-Ho Li, Nan Duan, Yinggong Zhao, Shujie Liu, Lei Cui, Mei-Yuh Hwang, Amittai Axelrod, Jianfeng Gao, Yaodong Zhang, Li Deng:
The MSRA machine translation system for IWSLT 2010. IWSLT 2010: 135-138 - 2009
- [c3]Mu Li, Nan Duan, Dongdong Zhang, Chi-Ho Li, Ming Zhou:
Collaborative Decoding: Partial Hypothesis Re-ranking Using Translation Consensus between Decoders. ACL/IJCNLP 2009: 585-592 - [c2]Nan Duan, Mu Li, Tong Xiao, Ming Zhou:
The Feature Subspace Method for SMT System Combination. EMNLP 2009: 1096-1104 - 2008
- [c1]Dongdong Zhang, Mu Li, Nan Duan, Chi-Ho Li, Ming Zhou:
Measure Word Generation for English-Chinese SMT Systems. ACL 2008: 89-96
Editorship
- 2023
- [e3]Fei Liu, Nan Duan, Qingting Xu, Yu Hong:
Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14302, Springer 2023, ISBN 978-3-031-44692-4 [contents] - [e2]Fei Liu, Nan Duan, Qingting Xu, Yu Hong:
Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14303, Springer 2023, ISBN 978-3-031-44695-5 [contents] - [e1]Fei Liu, Nan Duan, Qingting Xu, Yu Hong:
Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Foshan, China, October 12-15, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14304, Springer 2023, ISBN 978-3-031-44698-6 [contents]
Informal and Other Publications
- 2024
- [i165]Lichen Zhang, Shuai Lu, Nan Duan:
Selene: Pioneering Automated Proof in Software Verification. CoRR abs/2401.07663 (2024) - [i164]Kun Yan, Lei Ji, Zeyu Wang, Yuntao Wang, Nan Duan, Shuai Ma:
Voila-A: Aligning Vision-Language Models with User's Gaze Attention. CoRR abs/2401.09454 (2024) - [i163]Zecheng Tang, Chenfei Wu, Zekai Zhang, Mingheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan:
StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis. CoRR abs/2401.17093 (2024) - [i162]Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, Jianguo Zhang:
Using Left and Right Brains Together: Towards Vision and Language Planning. CoRR abs/2402.10534 (2024) - [i161]Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen:
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning. CoRR abs/2403.02333 (2024) - [i160]Zekai Zhang, Yiduo Guo, Yaobo Liang, Dongyan Zhao, Nan Duan:
PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion. CoRR abs/2403.03788 (2024) - [i159]Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen:
Exploring the Mystery of Influential Data for Mathematical Reasoning. CoRR abs/2404.01067 (2024) - [i158]Gabriela Ben Melech Stan, Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Matthew Lyle Olson, Anahita Bhiwandiwalla, Estelle Aflalo, Chenfei Wu, Nan Duan, Shao-Yen Tseng, Vasudev Lal:
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. CoRR abs/2404.03118 (2024) - [i157]Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen:
Rho-1: Not All Tokens Are What You Need. CoRR abs/2404.07965 (2024) - [i156]Zechang Sun, Yuan-Sen Ting, Yaobo Liang, Nan Duan, Song Huang, Zheng Cai:
Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery. CoRR abs/2406.01391 (2024) - [i155]Minheng Ni, Chenfei Wu, Huaying Yuan, Zhengyuan Yang, Ming Gong, Lijuan Wang, Zicheng Liu, Wangmeng Zuo, Nan Duan:
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition. CoRR abs/2408.11564 (2024) - [i154]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024) - 2023
- [i153]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. CoRR abs/2302.00618 (2023) - [i152]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. CoRR abs/2302.01626 (2023) - [i151]Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. CoRR abs/2302.10781 (2023) - [i150]Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, Nan Duan:
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models. CoRR abs/2303.04671 (2023) - [i149]Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Gong Ming, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan:
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation. CoRR abs/2303.12346 (2023) - [i148]Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan:
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs. CoRR abs/2303.16434 (2023) - [i147]Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. CoRR abs/2303.16854 (2023) - [i146]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. CoRR abs/2304.01196 (2023) - [i145]Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan:
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models. CoRR abs/2304.06364 (2023) - [i144]Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Jonathan Tien, Nan Duan:
Low-code LLM: Visual Programming over LLMs. CoRR abs/2304.08103 (2023) - [i143]Yiduo Guo, Yaobo Liang, Chenfei Wu, Wenshan Wu, Dongyan Zhao, Nan Duan:
Learning to Program with Natural Language. CoRR abs/2304.10464 (2023) - [i142]Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan:
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. CoRR abs/2304.11657 (2023) - [i141]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. CoRR abs/2305.05383 (2023) - [i140]Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan:
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization. CoRR abs/2305.06647 (2023) - [i139]Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen:
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. CoRR abs/2305.09515 (2023) - [i138]Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. CoRR abs/2305.11449 (2023) - [i137]Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen:
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. CoRR abs/2305.11738 (2023) - [i136]Yaobo Liang, Quanzhi Zhu, Junhe Zhao, Nan Duan:
Machine-Created Universal Language for Cross-lingual Transfer. CoRR abs/2305.13071 (2023) - [i135]Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan:
Query Rewriting for Retrieval-Augmented Large Language Models. CoRR abs/2305.14283 (2023) - [i134]Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. CoRR abs/2305.14766 (2023) - [i133]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. CoRR abs/2305.15294 (2023) - [i132]Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. CoRR abs/2306.00103 (2023) - [i131]Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, Timothy Baldwin:
CMMLU: Measuring massive multitask language understanding in Chinese. CoRR abs/2306.09212 (2023) - [i130]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. CoRR abs/2306.14893 (2023) - [i129]Zhijian Hou, Lei Ji, Difei Gao, Wanjun Zhong, Kun Yan, Chao Li, Wing-Kwong Chan, Chong-Wah Ngo, Nan Duan, Mike Zheng Shou:
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023. CoRR abs/2306.15255 (2023) - [i128]Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka:
Constructing Multilingual Code Search Dataset Using Neural Machine Translation. CoRR abs/2306.15604 (2023) - [i127]Shengming Yin, Chenfei Wu, Jian Liang, Jie Shi, Houqiang Li, Gong Ming, Nan Duan:
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory. CoRR abs/2308.08089 (2023) - [i126]Dan Qiao, Chenfei Wu, Yaobo Liang, Juntao Li, Nan Duan:
GameEval: Evaluating LLMs on Conversational Games. CoRR abs/2308.10032 (2023) - [i125]Minheng Ni, Chenfei Wu, Xiaodong Wang, Shengming Yin, Lijuan Wang, Zicheng Liu, Nan Duan:
ORES: Open-vocabulary Responsible Visual Synthesis. CoRR abs/2308.13785 (2023) - [i124]Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan:
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models. CoRR abs/2309.09506 (2023) - [i123]Baizhou Huang, Shuai Lu, Weizhu Chen, Xiaojun Wan, Nan Duan:
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. CoRR abs/2309.17272 (2023) - [i122]Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen:
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. CoRR abs/2309.17452 (2023) - [i121]Wang You, Wenshan Wu, Yaobo Liang, Shaoguang Mao, Chenfei Wu, Maosong Cao, Yuzhe Cai, Yiduo Guo, Yan Xia, Furu Wei, Nan Duan:
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation. CoRR abs/2310.08185 (2023) - [i120]Yiduo Guo, Zekai Zhang, Yaobo Liang, Dongyan Zhao, Nan Duan:
PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion. CoRR abs/2311.01767 (2023) - [i119]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. CoRR abs/2312.02143 (2023) - 2022
- [i118]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i117]Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan:
CodeRetriever: Unimodal and Bimodal Contrastive Learning. CoRR abs/2201.10866 (2022) - [i116]Minheng Ni, Chenfei Wu, Haoyang Huang, Daxin Jiang, Wangmeng Zuo, Nan Duan:
NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN. CoRR abs/2202.05009 (2022) - [i115]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. CoRR abs/2203.03850 (2022) - [i114]Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley:
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. CoRR abs/2203.06169 (2022) - [i113]Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy:
ReACC: A Retrieval-Augmented Code Completion Framework. CoRR abs/2203.07722 (2022) - [i112]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. CoRR abs/2203.08372 (2022) - [i111]Yuan Chai, Yaobo Liang, Nan Duan:
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure. CoRR abs/2203.08430 (2022) - [i110]Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan:
CodeReviewer: Pre-Training for Automating Code Review Activities. CoRR abs/2203.09095 (2022) - [i109]Estelle Aflalo, Meng Du, Shao-Yen Tseng, Yongfei Liu, Chenfei Wu, Nan Duan, Vasudev Lal:
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. CoRR abs/2203.17247 (2022) - [i108]Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan:
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation. CoRR abs/2204.13031 (2022) - [i107]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. CoRR abs/2205.04040 (2022) - [i106]Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou:
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training. CoRR abs/2205.08794 (2022) - [i105]Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan:
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation. CoRR abs/2205.11162 (2022) - [i104]Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan:
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder. CoRR abs/2206.00386 (2022) - [i103]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. CoRR abs/2206.03281 (2022) - [i102]Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Nan Duan:
Bridge-Tower: Building Bridges Between Encoders in Vision-Language Representation Learning. CoRR abs/2206.08657 (2022) - [i101]Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen:
Joint Generator-Ranker Learning for Natural Language Generation. CoRR abs/2206.13974 (2022) - [i100]Chenfei Wu, Jian Liang, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan:
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis. CoRR abs/2207.09814 (2022) - [i99]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving Task Generalization via Unified Schema Prompt. CoRR abs/2208.03229 (2022) - [i98]Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, Wing Kwong Chan, Chong-Wah Ngo, Zheng Shou, Nan Duan:
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding. CoRR abs/2209.10918 (2022) - [i97]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. CoRR abs/2209.13335 (2022) - [i96]Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: A High-Resolution Panorama Synthesis Framework. CoRR abs/2210.04522 (2022) - [i95]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. CoRR abs/2210.05197 (2022) - [i94]Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan:
Soft-Labeled Contrastive Pre-training for Function-level Code Representation. CoRR abs/2210.09597 (2022) - [i93]Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan:
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. CoRR abs/2210.09803 (2022) - [i92]Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan:
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. CoRR abs/2210.11265 (2022) - [i91]Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan:
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. CoRR abs/2210.11708 (2022) - [i90]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. CoRR abs/2210.11773 (2022) - [i89]Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, Wing Kwong Chan, Chong-Wah Ngo, Zheng Shou, Nan Duan:
An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022. CoRR abs/2211.08776 (2022) - [i88]Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan, Jianfeng Gao:
Execution-based Evaluation for Data Science Code Generation Models. CoRR abs/2211.09374 (2022) - [i87]Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen:
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation. CoRR abs/2211.10330 (2022) - [i86]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. CoRR abs/2211.15395 (2022) - [i85]Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
ReCo: Region-Controlled Text-to-Image Generation. CoRR abs/2211.15518 (2022) - [i84]Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. CoRR abs/2212.05225 (2022) - [i83]Jiashuo Sun, Hang Zhang, Chen Lin, Yeyun Gong, Jian Guo, Nan Duan:
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. CoRR abs/2212.07249 (2022) - [i82]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers. CoRR abs/2212.07841 (2022) - [i81]Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan:
Curriculum Sampling for Dense Retrieval with Document Expansion. CoRR abs/2212.09114 (2022) - [i80]Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan:
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. CoRR abs/2212.11685 (2022) - 2021
- [i79]Zachary R. Atkins, Christopher J. Vogl, Achintya Madduri, Nan Duan, Agnieszka K. Miedlar, Daniel Merl:
Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression. CoRR abs/2101.04816 (2021) - [i78]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i77]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. CoRR abs/2103.13597 (2021) - [i76]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. CoRR abs/2104.01767 (2021) - [i75]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
AR-LSAT: Investigating Analytical Reasoning of Text. CoRR abs/2104.06598 (2021) - [i74]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. CoRR abs/2104.08006 (2021) - [i73]Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval. CoRR abs/2104.08860 (2021) - [i72]Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, Nan Duan:
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions. CoRR abs/2104.14806 (2021) - [i71]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. CoRR abs/2105.03659 (2021) - [i70]Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen:
Poolingformer: Long Document Modeling with Pooling Attention. CoRR abs/2105.04371 (2021) - [i69]Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang:
EL-Attention: Memory Efficient Lossless Attention for Generation. CoRR abs/2105.04779 (2021) - [i68]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - [i67]Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruifei Zhang:
FastSeq: Make Sequence Generation Faster. CoRR abs/2106.04718 (2021) - [i66]Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti:
GEM: A General Evaluation Benchmark for Multimodal Tasks. CoRR abs/2106.09889 (2021) - [i65]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Generate Code Sketches. CoRR abs/2106.10158 (2021) - [i64]Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan:
From LSAT: The Progress and Challenges of Complex Reasoning. CoRR abs/2108.00648 (2021) - [i63]Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan:
Hybrid Reasoning Network for Video-based Commonsense Captioning. CoRR abs/2108.02365 (2021) - [i62]Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. CoRR abs/2109.00271 (2021) - [i61]Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. CoRR abs/2109.06704 (2021) - [i60]Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy:
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. CoRR abs/2109.08780 (2021) - [i59]Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan:
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. CoRR abs/2109.10504 (2021) - [i58]Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan:
XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge. CoRR abs/2109.12573 (2021) - [i57]Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. CoRR abs/2109.13087 (2021) - [i56]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for dense text retrieval. CoRR abs/2110.03611 (2021) - [i55]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. CoRR abs/2111.12417 (2021) - 2020
- [i54]Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. CoRR abs/2001.04063 (2020) - [i53]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. CoRR abs/2002.01808 (2020) - [i52]Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou:
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. CoRR abs/2002.06353 (2020) - [i51]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i50]Qiaolin Xia, Haoyang Huang, Nan Duan, Dongdong Zhang, Lei Ji, Zhifang Sui, Edward Cui, Taroon Bharti, Xin Liu, Ming Zhou:
XGPT: Cross-modal Generative Pre-Training for Image Captioning. CoRR abs/2003.01473 (2020) - [i49]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. CoRR abs/2004.01401 (2020) - [i48]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i47]Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. CoRR abs/2004.03875 (2020) - [i46]Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu:
Pre-training Text Representations as Meta Learning. CoRR abs/2004.05568 (2020) - [i45]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts. CoRR abs/2004.12057 (2020) - [i44]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i43]Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. CoRR abs/2004.14069 (2020) - [i42]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. CoRR abs/2004.14201 (2020) - [i41]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. CoRR abs/2004.14560 (2020) - [i40]Frank F. Xu, Lei Ji, Botian Shi, Junyi Du, Graham Neubig, Yonatan Bisk, Nan Duan:
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos. CoRR abs/2005.00706 (2020) - [i39]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. CoRR abs/2005.05806 (2020) - [i38]Minheng Ni, Haoyang Huang, Lin Su, Edward Cui, Taroon Bharti, Lijuan Wang, Jianfeng Gao, Dongdong Zhang, Nan Duan:
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training. CoRR abs/2006.02635 (2020) - [i37]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. CoRR abs/2006.08101 (2020) - [i36]Martin Kuo, Yaobo Liang, Lei Ji, Nan Duan, Linjun Shou, Ming Gong, Peng Chen:
Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding. CoRR abs/2009.07406 (2020) - [i35]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i34]Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. CoRR abs/2009.10557 (2020) - [i33]Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. CoRR abs/2009.12056 (2020) - [i32]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. CoRR abs/2010.01475 (2020) - [i31]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. CoRR abs/2010.07475 (2020) - [i30]Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou:
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. CoRR abs/2010.10789 (2020) - [i29]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. CoRR abs/2011.11928 (2020) - [i28]Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. CoRR abs/2012.00366 (2020) - [i27]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang:
Syntax-Enhanced Pre-trained Model. CoRR abs/2012.14116 (2020) - [i26]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. CoRR abs/2012.15525 (2020) - 2019
- [i25]Haoyu Zhang, Yeyun Gong, Yu Yan, Nan Duan, Jianjun Xu, Ji Wang, Ming Gong, Ming Zhou:
Pretraining-Based Natural Language Generation for Text Summarization. CoRR abs/1902.09243 (2019) - [i24]Yikang Li, Tao Ma, Yeqi Bai, Nan Duan, Sining Wei, Xiaogang Wang:
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph. CoRR abs/1905.01608 (2019) - [i23]Chenfei Wu, Yanzhao Zhou, Gen Li, Nan Duan, Duyu Tang, Xiaojie Wang:
Deep Reason: A Strong Baseline for Real-World Visual Reasoning. CoRR abs/1905.10226 (2019) - [i22]Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin:
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. CoRR abs/1906.07108 (2019) - [i21]Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Dawei Song, Ming Zhou:
A Tensorized Transformer for Language Modeling. CoRR abs/1906.09777 (2019) - [i20]Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, Ming Zhou:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training. CoRR abs/1908.06066 (2019) - [i19]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. CoRR abs/1909.00964 (2019) - [i18]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. CoRR abs/1909.03745 (2019) - [i17]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. CoRR abs/1909.05311 (2019) - [i16]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. CoRR abs/1909.05438 (2019) - [i15]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. CoRR abs/1910.05069 (2019) - 2018
- [i14]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-based QA with Question-Aware Open Information Extraction. CoRR abs/1801.07414 (2018) - [i13]Bin Wang, Nan Duan, Kai Sun:
A Time-Power Series Based Semi-Analytical Approach for Power System Simulation. CoRR abs/1804.07330 (2018) - [i12]Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou:
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR abs/1804.08338 (2018) - [i11]Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang:
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. CoRR abs/1805.09701 (2018) - [i10]Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao:
Table-to-Text: Describing Table Region with Natural Language. CoRR abs/1805.11234 (2018) - [i9]Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou:
Question Generation from SQL Queries Improves Neural Semantic Parsing. CoRR abs/1808.06304 (2018) - [i8]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-Training. CoRR abs/1809.03568 (2018) - [i7]Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin:
Knowledge Based Machine Reading Comprehension. CoRR abs/1809.04267 (2018) - [i6]Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin:
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. CoRR abs/1809.04271 (2018) - 2017
- [i5]Duyu Tang, Nan Duan, Tao Qin, Ming Zhou:
Question Answering and Question Generation as Dual Tasks. CoRR abs/1706.02027 (2017) - [i4]Zhao Yan, Duyu Tang, Nan Duan, Junwei Bao, Yuanhua Lv, Ming Zhou, Zhoujun Li:
Content-Based Table Retrieval for Web Queries. CoRR abs/1706.02427 (2017) - [i3]Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang:
Visual Question Generation as Dual Task of Visual Question Answering. CoRR abs/1709.07192 (2017) - [i2]Nan Duan, Kai Sun:
Stochastic Power System Simulation Using the Adomian Decomposition Method. CoRR abs/1710.02415 (2017) - 2014
- [i1]Nan Duan, Kai Sun:
Finding Semi-Analytic Solutions of Power System Differential-Algebraic Equations for Fast Transient Stability Simulation. CoRR abs/1412.0904 (2014)
Coauthor Index
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