Daya Guo

According to our database, Daya Guo authored at least 38 papers between 2018 and 2024.

Collaborative distances:

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

2024

Contextualized Data-Wrangling Code Generation in Computational Notebooks.

Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu

CoRR, 2024

RLCoder: Reinforcement Learning for Repository-Level Code Completion.

Yanlin Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng

CoRR, 2024

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, Dejian Yang, Peiyi Wang, Runxin Xu, Y. Wu, Yukun Li, Huazuo Gao, Shirong Ma, Wangding Zeng, Xiao Bi, Zihui Gu, Hanwei Xu, Damai Dai, Kai Dong, Liyue Zhang, Yishi Piao, Zhibin Gou, Zhenda Xie, Zhewen Hao, Bingxuan Wang, Junxiao Song, Deli Chen, Xin Xie, Kang Guan, Yuxiang You, Aixin Liu, Qiushi Du, Wenjun Gao, Xuan Lu, Qinyu Chen, Yaohui Wang, Chengqi Deng, Jiashi Li, Chenggang Zhao, Chong Ruan, Fuli Luo, Wenfeng Liang

CoRR, 2024

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

Huajian Xin, Daya Guo, Zhihong Shao, Zhizhou Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang

CoRR, 2024

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, Tao Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun

CoRR, 2024

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo

CoRR, 2024

DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence.

Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Y. Wu, Y. K. Li, Fuli Luo, Yingfei Xiong, Wenfeng Liang

CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou

CoRR, 2024

SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization.

Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng

Proceedings of the IEEE International Conference on Software Analysis, 2024

2023

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

Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley

Proceedings of the International Conference on Machine Learning, 2023

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data.

Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley

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

2022

CodeReviewer: Pre-Training for Automating Code Review Activities.

Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan

CoRR, 2022

Automating code review activities by large-scale pre-training.

Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Analytical Reasoning of Text.

Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan

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

Learning to Complete Code with Sketches.

Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis

Proceedings of the Tenth International Conference on Learning Representations, 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

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval.

Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley

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

ReACC: A Retrieval-Augmented Code Completion Framework.

Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy

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

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

Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin

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

2021

Learning to Generate Code Sketches.

Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis

CoRR, 2021

AR-LSAT: Investigating Analytical Reasoning of Text.

Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan

CoRR, 2021

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

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Multi-modal Representation Learning for Video Advertisement Content Structuring.

Daya Guo, Zhaoyang Zeng

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

GraphCodeBERT: Pre-training Code Representations with Data Flow.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Syntax-Enhanced Pre-trained Model.

Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan

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

2020

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, Shuai Ma

CoRR, 2020

Pre-training Text Representations as Meta Learning.

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

CoRR, 2020

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning.

Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou

CoRR, 2020

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

Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou

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

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder.

Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou

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

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering.

Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu

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

2019

Multi-modal Representation Learning for Short Video Understanding and Recommendation.

Daya Guo, Jiangshui Hong, Binli Luo, Qirui Yan, Zhangming Niu

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.

Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang

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

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing.

Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin

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

2018

Knowledge Based Machine Reading Comprehension.

Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin

CoRR, 2018

Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base.

Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Question Generation from SQL Queries Improves Neural Semantic Parsing.

Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018