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2020 – today
- 2023
[c53]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- [c52]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 - [c51]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 - [c50]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 - [c49]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 - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan:
Query Rewriting for Retrieval-Augmented Large Language Models. CoRR abs/2305.14283 (2023) - [i44]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) - [i43]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) - [i42]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) - [i41]Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo:
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. CoRR abs/2307.07697 (2023) - [i40]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) - [i39]Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen:
Adapting LLM Agents Through Communication. CoRR abs/2310.01444 (2023) - [i38]Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo:
Noisy Pair Corrector for Dense Retrieval. CoRR abs/2311.03798 (2023) - 2022
- [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Sm Yiu, Nan Duan:
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. EMNLP 2022: 839-852 - [c43]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 - [c42]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 - [c41]Junwei Bao, Yifan Wang, Ying Jiangyong, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He:
P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. EMNLP (Findings) 2022: 6663-6675 - [c40]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for Dense Text Retrieval. ICLR 2022 - [c39]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 - [c38]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR 2022: 1513-1523 - [i37]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) - [i36]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR abs/2204.00185 (2022) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]Junwei Bao, Yifan Wang, Jiangyong Ying, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He:
P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. CoRR abs/2210.12339 (2022) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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
- [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for dense text retrieval. CoRR abs/2110.03611 (2021) - 2020
- [c28]Bo Shao, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, Xiaola Lin:
Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing. AAAI 2020: 8807-8814 - [c27]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 - [c26]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 - [c25]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 - [c24]Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin:
Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing. COLING 2020: 3246-3256 - [c23]Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang:
Uncertainty-Aware Label Refinement for Sequence Labeling. EMNLP (1) 2020: 2316-2326 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang:
Leveraging Document-Level Label Consistency for Named Entity Recognition. IJCAI 2020: 3976-3982 - [c17]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 - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang:
Uncertainty-Aware Label Refinement for Sequence Labeling. CoRR abs/2012.10608 (2020) - [i3]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)
2010 – 2019
- 2019
- [c16]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 - [c15]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 - [c14]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 - [i2]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) - [i1]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) - 2018
- [j3]Yeyun Gong, Qi Zhang, Xuanjing Huang:
Hashtag recommendation for multimodal microblog posts. Neurocomputing 272: 170-177 (2018) - [j2]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) - 2017
- [j1]Yeyun Gong, Qi Zhang, Xiaoying Han, Xuanjing Huang:
Phrase-based hashtag recommendation for microblog posts. Sci. China Inf. Sci. 60(1): 12109 (2017) - [c13]Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong:
Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network. IJCAI 2017: 3420-3426 - [c12]Jin Qian, Yeyun Gong, Qi Zhang, Xuanjing Huang:
Hierarchical Dirichlet Processes with Social Influence. NLPCC 2017: 490-502 - 2016
- [c11]Qi Zhang, Yeyun Gong, Jindou Wu, Haoran Huang, Xuanjing Huang:
Retweet Prediction with Attention-based Deep Neural Network. CIKM 2016: 75-84 - [c10]Haoran Huang, Qi Zhang, Yeyun Gong, Xuanjing Huang:
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention. COLING 2016: 943-952 - [c9]Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang:
Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter. EMNLP 2016: 836-845 - 2015
- [c8]Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang:
Retweet Behavior Prediction Using Hierarchical Dirichlet Process. AAAI 2015: 403-409 - [c7]Yeyun Gong, Qi Zhang, Xuyang Sun, Xuanjing Huang:
Who Will You "@"? CIKM 2015: 533-542 - [c6]Yeyun Gong, Qi Zhang, Xuanjing Huang:
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags. EMNLP 2015: 401-410 - 2014
- [c5]Qi Zhang, Yeyun Gong, Xuyang Sun, Xuanjing Huang:
Time-aware Personalized Hashtag Recommendation on Social Media. COLING 2014: 203-212 - [c4]Yeyun Gong, Yaqian Zhou, Ya Guo, Qi Zhang, Xuanjing Huang:
A Generative Model for Identifying Target Companies of Microblogs. COLING 2014: 688-697 - 2013
- [c3]Qi Zhang, Jihua Kang, Yeyun Gong, Huan Chen, Yaqian Zhou, Xuanjing Huang:
Map search via a factor graph model. CIKM 2013: 69-78 - [c2]