Question Generation from SQL Queries Improves Neural Semantic Parsing. - Daya Guo; Yibo Sun; Duyu Tang; Nan Duan; Jian Yin 001; Hong Chi; James Cao; Peng Chen 029; Ming Zhou 001 (EMNLP, 2018)

Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base. - Daya Guo; Duyu Tang; Nan Duan; Ming Zhou 001; Jian Yin 001 (NeurIPS, 2018)

Knowledge Based Machine Reading Comprehension. - Yibo Sun; Daya Guo; Duyu Tang; Nan Duan; Zhao Yan; Xiaocheng Feng; Bing Qin 001 (CoRR, 2018)

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. - Daya Guo; Duyu Tang; Nan Duan; Ming Zhou 001; Jian Yin 001 (ACL (1), 2019)

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. - Tao Shen 001; Xiubo Geng; Tao Qin 001; Daya Guo; Duyu Tang; Nan Duan; Guodong Long; Daxin Jiang (EMNLP/IJCNLP (1), 2019)

Multi-modal Representation Learning for Short Video Understanding and Recommendation. - Daya Guo; Jiangshui Hong; Binli Luo; Qirui Yan; Zhangming Niu (ICME Workshops, 2019)

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. - Shangwen Lv; Daya Guo; Jingjing Xu; Duyu Tang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Songlin Hu 001 (AAAI, 2020)

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. - Daya Guo; Duyu Tang; Nan Duan; Jian Yin 001; Daxin Jiang; Ming Zhou 001 (ACL, 2020)

CodeBERT: A Pre-Trained Model for Programming and Natural Languages. - Zhangyin Feng; Daya Guo; Duyu Tang; Nan Duan; Xiaocheng Feng; Ming Gong 001; Linjun Shou; Bing Qin 001; Ting Liu 001; Daxin Jiang; Ming Zhou 001 (EMNLP (Findings), 2020)

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. - Daya Guo; Akari Asai; Duyu Tang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Jian Yin 001; Ming Zhou 001 (CoRR, 2020)

Pre-training Text Representations as Meta Learning. - Shangwen Lv; Yuechen Wang; Daya Guo; Duyu Tang; Nan Duan; Fuqing Zhu; Ming Gong 001; Linjun Shou; Ryan Ma; Daxin Jiang; Guihong Cao; Ming Zhou 001; et al. (CoRR, 2020)

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis. - Shuo Ren; Daya Guo; Shuai Lu; Long Zhou; Shujie Liu 001; Duyu Tang; Neel Sundaresan; Ming Zhou 001; Ambrosio Blanco; Shuai Ma 001 (CoRR, 2020)

Syntax-Enhanced Pre-trained Model. - Zenan Xu; Daya Guo; Duyu Tang; Qinliang Su; Linjun Shou; Ming Gong 001; Wanjun Zhong; Xiaojun Quan; Daxin Jiang; Nan Duan (ACL/IJCNLP (1), 2021)

GraphCodeBERT: Pre-training Code Representations with Data Flow. - Daya Guo; Shuo Ren; Shuai Lu; Zhangyin Feng; Duyu Tang; Shujie Liu 001; Long Zhou; Nan Duan; Alexey Svyatkovskiy; Shengyu Fu; Michele Tufano; Shao Kun Deng; et al. (ICLR, 2021)

Multi-modal Representation Learning for Video Advertisement Content Structuring. - Daya Guo; Zhaoyang Zeng (ACM Multimedia, 2021)

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. - Shuai Lu; Daya Guo; Shuo Ren; Junjie Huang 008; Alexey Svyatkovskiy; Ambrosio Blanco; Colin B. Clement; Dawn Drain; Daxin Jiang; Duyu Tang; Ge Li 001; Lidong Zhou; et al. (NeurIPS Datasets and Benchmarks, 2021)

AR-LSAT: Investigating Analytical Reasoning of Text. - Wanjun Zhong; Siyuan Wang; Duyu Tang; Zenan Xu; Daya Guo; Jiahai Wang; Jian Yin 001; Ming Zhou 001; Nan Duan (CoRR, 2021)

Learning to Generate Code Sketches. - Daya Guo; Alexey Svyatkovskiy; Jian Yin 001; Nan Duan; Marc Brockschmidt; Miltiadis Allamanis (CoRR, 2021)

UniXcoder: Unified Cross-Modal Pre-training for Code Representation. - Daya Guo; Shuai Lu; Nan Duan; Yanlin Wang 001; Ming Zhou 001; Jian Yin 001 (ACL (1), 2022)

ReACC: A Retrieval-Augmented Code Completion Framework. - Shuai Lu; Nan Duan; Hojae Han; Daya Guo; Seung-won Hwang; Alexey Svyatkovskiy (ACL (1), 2022)

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. - Canwen Xu; Daya Guo; Nan Duan; Julian J. McAuley (ACL (Findings), 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 (EMNLP (Findings), 2022)

Learning to Complete Code with Sketches. - Daya Guo; Alexey Svyatkovskiy; Jian Yin 001; Nan Duan; Marc Brockschmidt; Miltiadis Allamanis (ICLR, 2022)

Analytical Reasoning of Text. - Wanjun Zhong; Siyuan Wang; Duyu Tang; Zenan Xu; Daya Guo; Yining Chen; Jiahai Wang; Jian Yin 001; Ming Zhou 001; Nan Duan (NAACL-HLT (Findings), 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 (ESEC/SIGSOFT FSE, 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)

Noisy Pair Corrector for Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Xingwei He 003; Dayiheng Liu; Daya Guo; Jiancheng Lv 001; Jian Guo (EMNLP (Findings), 2023)

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. - Canwen Xu; Daya Guo; Nan Duan; Julian J. McAuley (EMNLP, 2023)

LongCoder: A Long-Range Pre-trained Language Model for Code Completion. - Daya Guo; Canwen Xu; Nan Duan; Jian Yin 001; Julian J. McAuley (ICML, 2023)

Contextualized Data-Wrangling Code Generation in Computational Notebooks. - Junjie Huang 008; Daya Guo; Chenglong Wang; Jiazhen Gu; Shuai Lu; Jeevana Priya Inala; Cong Yan; Jianfeng Gao 001; Nan Duan; Michael R. Lyu (ASE, 2024)

SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization. - Yanlin Wang 001; Yanxian Huang; Daya Guo; Hongyu Zhang 002; Zibin Zheng (SANER, 2024)

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. - Xiao Bi; Deli Chen; Guanting Chen 002; Shanhuang Chen; Damai Dai; Chengqi Deng; Honghui Ding; Kai Dong 003; Qiushi Du; Zhe Fu; Huazuo Gao; Kaige Gao; et al. (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 003; Wentao Zhang; Guanting Chen 002; Xiao Bi; Y. Wu; Y. K. Li; Fuli Luo; Yingfei Xiong 001; et al. (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-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. - DeepSeek-AI; Aixin Liu; Bei Feng; Bin Wang 065; Bingxuan Wang; Bo Liu 039; Chenggang Zhao; Chengqi Deng; Chong Ruan; Damai Dai; Daya Guo; Dejian Yang; et al. (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 039; Chong Ruan; Wenda Li; Xiaodan Liang (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; et al. (CoRR, 2024)

RLCoder: Reinforcement Learning for Repository-Level Code Completion. - Yanlin Wang 001; Daya Guo; Jiachi Chen; Ruikai Zhang; Yuchi Ma; Zibin Zheng (CoRR, 2024)

RepoTransBench: A Real-World Benchmark for Repository-Level Code Translation. - Yanli Wang; Yanlin Wang 001; Suiquan Wang; Daya Guo; Jiachi Chen; John C. Grundy; Xilin Liu; Yuchi Ma; Mingzhi Mao; Hongyu Zhang 002; Zibin Zheng (CoRR, 2024)

DeepSeek-V3 Technical Report. - DeepSeek-AI; Aixin Liu; Bei Feng; Bing Xue; Bingxuan Wang; Bochao Wu; Chengda Lu; Chenggang Zhao; Chengqi Deng; Chenyu Zhang; Chong Ruan; Damai Dai; et al. (CoRR, 2024)

SoTaNa: An Open-Source Software Engineering Instruction-Tuned Model. - Ensheng Shi; Yanlin Wang 001; Fengji Zhang; Bei Chen; Hongyu Zhang 002; Yanli Wang; Daya Guo; Lun Du; Shi Han; Dongmei Zhang 001; Hongbin Sun 001 (Forge@ICSE, 2025)

RLCoder: Reinforcement Learning for Repository-Level Code Completion. - Yanlin Wang 001; Yanli Wang; Daya Guo; Jiachi Chen; Ruikai Zhang; Yuchi Ma; Zibin Zheng (ICSE, 2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. - DeepSeek-AI; Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Ruoyu Zhang; Runxin Xu; Qihao Zhu; Shirong Ma; Peiyi Wang; Xiao Bi; Xiaokang Zhang; et al. (CoRR, 2025)

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction. - Junlong Li; Daya Guo; Dejian Yang; Runxin Xu; Yu Wu; Junxian He (CoRR, 2025)

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition. - Z. Z. Ren; Zhihong Shao; Junxiao Song; Huajian Xin; Haocheng Wang; Wanjia Zhao; Liyue Zhang; Zhe Fu; Qihao Zhu; Dejian Yang; Z. F. Wu; Zhibin Gou; et al. (CoRR, 2025)

Context-aware code summarization with multi-relational graph neural network. - Yanlin Wang 001; Ensheng Shi; Lun Du; Xiaodi Yang; Yuxuan Hu 003; Yan Wang; Daya Guo; Shi Han; Hongyu Zhang 002; Dongmei Zhang 001 (Autom. Softw. Eng., 2025)