Yeyun Gong

According to our database, Yeyun Gong authored at least 104 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Integrative Decoding: Improve Factuality via Implicit Self-consistency.

Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong

CoRR, 2024

AutoVerus: Automated Proof Generation for Rust Code.

Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Jianan Yao, Weidong Cui, Yeyun Gong, Chris Hawblitzel, Shuvendu K. Lahiri, Jacob R. Lorch, Shuai Lu, Fan Yang, Ziqiao Zhou, Shan Lu

CoRR, 2024

Task Oriented In-Domain Data Augmentation.

Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao

CoRR, 2024

Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance.

Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Yujiu Yang, Qi Chen, Peng Cheng

CoRR, 2024

Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding.

Jiang Li, Xiangdong Su, Yeyun Gong, Guanglai Gao

CoRR, 2024

Rho-1: Not All Tokens Are What You Need.

Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen

CoRR, 2024

Exploring the Mystery of Influential Data for Mathematical Reasoning.

Xinzhe Ni, Yeyun Gong, Zhibin Gou, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen

CoRR, 2024

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning.

Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen

CoRR, 2024

A novel approach for estimating lung tumor motion based on dynamic features in 4D-CT.

Yeyun Gong, Yue-Ke Li, Rongrong Zhou, Zhan Liang, Yingying Zhang, Tingting Cheng, Zijian Zhang

Comput. Medical Imaging Graph., 2024

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LEAD: Liberal Feature-based Distillation for Dense Retrieval.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models.

Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.

Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Task Oriented In-Domain Data Augmentation.

Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval.

Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.

Jiashuo Sun, Hang Zhang, Chen Lin, Xiangdong Su, Yeyun Gong, Jian Guo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization.

Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Competition-Level Problems are Effective LLM Evaluators.

Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

CMMLU: Measuring massive multitask language understanding in Chinese.

Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, Timothy Baldwin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Adapting LLM Agents Through Communication.

Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen

CoRR, 2023

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph.

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo

CoRR, 2023

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan

CoRR, 2023

PROD: Progressive Distillation for Dense Retrieval.

Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan

Proceedings of the ACM Web Conference 2023, 2023

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers.

Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models.

Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models.

Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen

Proceedings of the International Conference on Machine Learning, 2023

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise.

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen

Proceedings of the International Conference on Machine Learning, 2023

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

Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Query Rewriting in Retrieval-Augmented Large Language Models.

Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Noisy Pair Corrector for Dense Retrieval.

Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Allies: Prompting Large Language Model with Beam Search.

Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion.

Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Joint Generator-Ranker Learning for Natural Language Generation.

Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model.

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan

CoRR, 2022

Curriculum Sampling for Dense Retrieval with Document Expansion.

Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan

CoRR, 2022

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.

Jiashuo Sun, Hang Zhang, Chen Lin, Yeyun Gong, Jian Guo, Nan Duan

CoRR, 2022

LEAD: Liberal Feature-based Distillation for Dense Retrieval.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan

CoRR, 2022

GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation.

Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen

CoRR, 2022

P³LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training.

Junwei Bao, Yifan Wang, Jiangyong Ying, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He

CoRR, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan, Weizhu Chen

CoRR, 2022

A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation.

Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan

CoRR, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.

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

CoRR, 2022

CodeRetriever: Unimodal and Bimodal Contrastive Learning.

Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan

CoRR, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.

Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CULG: Commercial Universal Language Generation.

Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Adversarial Retriever-Ranker for Dense Text Retrieval.

Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search.

Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation.

Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis.

Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning.

Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training.

Junwei Bao, Yifan Wang, Ying Jiangyong, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations.

Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation.

Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning.

Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

CoRR, 2021

FastSeq: Make Sequence Generation Faster.

Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruifei Zhang

CoRR, 2021

Question Generation from Code Snippets and Programming Error Messages.

Bolun Yao, Wei Chen, Yeyun Gong, Bartuer Zhou, Jin Xie, Zhongyu Wei, Biao Cheng, Nan Duan

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Mask Attention Networks: Rethinking and Strengthen Transformer.

Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Poolingformer: Long Document Modeling with Pooling Attention.

Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen

Proceedings of the 38th International Conference on Machine Learning, 2021

EL-Attention: Memory Efficient Lossless Attention for Generation.

Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining.

Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

Proceedings of the 38th International Conference on Machine Learning, 2021

KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning.

Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

FastSeq: Make Sequence Generation Faster.

Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruofei Zhang

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation.

Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GLGE: A New General Language Generation Evaluation Benchmark.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation.

Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan

CoRR, 2020

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation.

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

CoRR, 2020

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine.

Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Leveraging Document-Level Label Consistency for Named Entity Recognition.

Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training.

Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation.

Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space.

Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation.

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Uncertainty-Aware Label Refinement for Sequence Labeling.

Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing.

Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Enhanced Knowledge Injection Model for Commonsense Generation.

Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

RikiNet: Reading Wikipedia Pages for Natural Question Answering.

Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.

Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing.

Bo Shao, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, Xiaola Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Pretraining-Based Natural Language Generation for Text Summarization.

Haoyu Zhang, Yeyun Gong, Yu Yan, Nan Duan, Jianjun Xu, Ji Wang, Ming Gong, Ming Zhou

CoRR, 2019

Weakly Supervised Multi-task Learning for Semantic Parsing.

Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching.

Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Joint Type Inference on Entities and Relations via Graph Convolutional Networks.

Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Question Generation With Doubly Adversarial Nets.

Junwei Bao, Yeyun Gong, Nan Duan, Ming Zhou, Tiejun Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Hashtag recommendation for multimodal microblog posts.

Yeyun Gong, Qi Zhang, Xuanjing Huang

Neurocomputing, 2018

2017

Phrase-based hashtag recommendation for microblog posts.

Yeyun Gong, Qi Zhang, Xiaoying Han, Xuanjing Huang

Sci. China Inf. Sci., 2017

Hierarchical Dirichlet Processes with Social Influence.

Jin Qian, Yeyun Gong, Qi Zhang, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network.

Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter.

Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention.

Haoran Huang, Qi Zhang, Yeyun Gong, Xuanjing Huang

Proceedings of the COLING 2016, 2016

Retweet Prediction with Attention-based Deep Neural Network.

Qi Zhang, Yeyun Gong, Jindou Wu, Haoran Huang, Xuanjing Huang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags.

Yeyun Gong, Qi Zhang, Xuanjing Huang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Who Will You "@"?

Yeyun Gong, Qi Zhang, Xuyang Sun, Xuanjing Huang

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Retweet Behavior Prediction Using Hierarchical Dirichlet Process.

Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Time-aware Personalized Hashtag Recommendation on Social Media.

Qi Zhang, Yeyun Gong, Xuyang Sun, Xuanjing Huang

Proceedings of the COLING 2014, 2014

A Generative Model for Identifying Target Companies of Microblogs.

Yeyun Gong, Yaqian Zhou, Ya Guo, Qi Zhang, Xuanjing Huang

Proceedings of the COLING 2014, 2014

2013

Detecting Spammers in Community Question Answering.

Zhuoye Ding, Yeyun Gong, Yaqian Zhou, Qi Zhang, Xuanjing Huang

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Map search via a factor graph model.

Qi Zhang, Jihua Kang, Yeyun Gong, Huan Chen, Yaqian Zhou, Xuanjing Huang

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2011

Classical Mongolian Words Recognition in Historical Document.

Guanglai Gao, Xiangdong Su, Hongxi Wei, Yeyun Gong

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011