Yeyun Gong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
88
Venues
14
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
88 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective. | Shimao Zhang, Zhejian Lai, Xiang Liu, Shuaijie She, Xiao Liu, Yeyun Gong, Shujian Huang, Jiajun Chen |
| 2026 | ACL | Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions. | Boyan Duan, Xiao Liang, Shuai Lu, Yaoxiang Wang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Mao Yang, Weizhu Chen, Yeyun Gong |
| 2026 | ACL | Is Your Language Model Ready for Monetization Decisions? | Jialu Gao, Hua Li, Tracy Ortman, Yeyun Gong, Jian Jiao |
| 2026 | ACL | LayerNorm Induces Recency Bias in Transformer Decoders. | Junu Kim, Xiao Liu, Zhenghao Lin, Lei Ji, Yeyun Gong, Edward Choi |
| 2026 | ACL | Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability. | Xiao Liang, Zhong-Zhi Li, Zhenghao Lin, Eric Hanchen Jiang, Hengyuan Zhang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Yeyun Gong, Weizhu Chen |
| 2026 | ACL | Too Long, Do Re-weighting for Efficient LLM Reasoning Compression. | Zhong-Zhi Li, Xiao Liang, Zihao Tang, Lei Ji, Peijie Wang, Haotian Xu, Xing W, Haizhen Huang, Weiwei Deng, Yeyun Gong, Zhijiang Guo, Xiao Liu, Fei Yin, Cheng-Lin Liu |
| 2026 | ACL | DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections. | Haebin Shin, Lei Ji, Xiao Liu, Zhiwei Yu, Hyunwoo Yoo, Qi Chen, Yeyun Gong |
| 2026 | ACL | Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training. | Kailai Yang, Xiao Liu, Lei Ji, Hao Li, Xiao Liang, Zhiwei Liu, Yeyun Gong, Peng Cheng, Mao Yang |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Enhancing Large Language Model Performance with Gradient-Based Parameter Selection. | Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang, Qi Chen, Peng Cheng |
| 2025 | ACL | Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training. | Zheheng Luo, Xin Zhang, Xiao Liu, Haoling Li, Yeyun Gong, Qi Chen, Peng Cheng |
| 2025 | ACL | Process-based Self-Rewarding Language Models. | Shimao Zhang, Xiao Liu, Xin Zhang, Junxiao Liu, Zheheng Luo, Shujian Huang, Yeyun Gong |
| 2025 | ICLR | Integrative Decoding: Improving 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 |
| 2025 | ICLR | Automated Proof Generation for Rust Code via Self-Evolution. | Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K. Lahiri, Tao Xie, Lidong Zhou |
| 2025 | ICLR | Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation. | Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei |
| 2025 | ICML | Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling. | Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong |
| 2025 | ICML | Optimizing Large Language Model Training Using FP4 Quantization. | Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zheng-Jun Zha, Peng Cheng |
| 2025 | NAACL | Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning. | Sungjin Park, Xiao Liu, Yeyun Gong, Edward Choi |
| 2025 | NAACL | Generative Prompt Internalization. | Haebin Shin, Lei Ji, Yeyun Gong, Sungdong Kim, Eunbi Choi, Minjoon Seo |
| 2025 | NAACL | Adapting LLM Agents with Universal Communication Feedback. | Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang, Yelong Shen |
| 2024 | ACL | CMMLU: Measuring massive multitask language understanding in Chinese. | Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, Timothy Baldwin |
| 2024 | ACL | 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 |
| 2024 | COLING | PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization. | Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan |
| 2024 | COLING | APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. | Jiashuo Sun, Hang Zhang, Chen Lin, Xiangdong Su, Yeyun Gong, Jian Guo |
| 2024 | COLING | Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. | Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo |
| 2024 | EMNLP | Task Oriented In-Domain Data Augmentation. | Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | WWW | 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 |
| 2024 | WSDM | 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 |
| 2023 | ACL | Joint Generator-Ranker Learning for Natural Language Generation. | Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Allies: Prompting Large Language Model with Beam Search. | Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan |
| 2023 | EMNLP | Noisy Pair Corrector for Dense Retrieval. | Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo |
| 2023 | EMNLP | Query Rewriting in Retrieval-Augmented Large Language Models. | Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan |
| 2023 | EMNLP | Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. | Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen |
| 2023 | ICML | 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 |
| 2023 | ICML | Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. | Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen |
| 2023 | WWW | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | 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 |
| 2022 | EMNLP | P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. | Junwei Bao, Yifan Wang, Ying Jiangyong, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | ICLR | Adversarial Retriever-Ranker for Dense Text Retrieval. | Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen |
| 2022 | NAACL | CULG: Commercial Universal Language Generation. | Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan |
| 2022 | SIGIR | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | EMNLP | KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. | Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan |
| 2021 | ICML | 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 |
| 2021 | ICML | EL-Attention: Memory Efficient Lossless Attention for Generation. | Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang |
| 2021 | ICML | Poolingformer: Long Document Modeling with Pooling Attention. | Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen |
| 2021 | NAACL | 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 |
| 2020 | AAAI | Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing. | Bo Shao, Yeyun Gong, Weizhen Qi, Guihong Cao, Jianshu Ji, Xiaola Lin |
| 2020 | AAAI | 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 |
| 2020 | ACL | RikiNet: Reading Wikipedia Pages for Natural Question Answering. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | COLING | 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 |
| 2020 | COLING | Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing. | Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin |
| 2020 | EMNLP | Uncertainty-Aware Label Refinement for Sequence Labeling. | Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2020 | IJCAI | Leveraging Document-Level Label Consistency for Named Entity Recognition. | Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang |
| 2019 | ACL | 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 |
| 2019 | EMNLP | Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching. | Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin |
| 2019 | IJCAI | Weakly Supervised Multi-task Learning for Semantic Parsing. | Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan |
| 2017 | IJCAI | Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network. | Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong |
| 2016 | CIKM | Retweet Prediction with Attention-based Deep Neural Network. | Qi Zhang, Yeyun Gong, Jindou Wu, Haoran Huang, Xuanjing Huang |
| 2016 | COLING | Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention. | Haoran Huang, Qi Zhang, Yeyun Gong, Xuanjing Huang |
| 2016 | EMNLP | Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter. | Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang |
| 2015 | AAAI | Retweet Behavior Prediction Using Hierarchical Dirichlet Process. | Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang |
| 2015 | CIKM | Who Will You "@"? | Yeyun Gong, Qi Zhang, Xuyang Sun, Xuanjing Huang |
| 2015 | EMNLP | Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags. | Yeyun Gong, Qi Zhang, Xuanjing Huang |
| 2014 | COLING | A Generative Model for Identifying Target Companies of Microblogs. | Yeyun Gong, Yaqian Zhou, Ya Guo, Qi Zhang, Xuanjing Huang |
| 2014 | COLING | Time-aware Personalized Hashtag Recommendation on Social Media. | Qi Zhang, Yeyun Gong, Xuyang Sun, Xuanjing Huang |
| 2013 | CIKM | Map search via a factor graph model. | Qi Zhang, Jihua Kang, Yeyun Gong, Huan Chen, Yaqian Zhou, Xuanjing Huang |
| 2013 | IJCNLP | Detecting Spammers in Community Question Answering. | Zhuoye Ding, Yeyun Gong, Yaqian Zhou, Qi Zhang, Xuanjing Huang |
| 2011 | ICDAR | Classical Mongolian Words Recognition in Historical Document. | Guanglai Gao, Xiangdong Su, Hongxi Wei, Yeyun Gong |