Guo, Daya

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

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Software Engineering ResearchTopic Modeling

Cited by 2,824

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

Guo, D., Yang, D., Zhang, H., Song, J., Wang, P., Zhu, Q., Xu, R., Zhang, R., Ma, S., Bi, X., et al. (2025) · Nature

Topic ModelingNatural Language Processing Techniques

Cited by 1,701

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

Guo, D., Lu, S., Duan, N., Wang, Y., Zhou, M., & Yin, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTopic Modeling

Cited by 673

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

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

GraphCodeBERT: Pre-training Code Representations with Data Flow

Guo, D., Ren, S., Lu, S., Feng, Z., Tang, D., Liu, S., Zhou, L., Duan, N., Svyatkovskiy, A., Fu, S., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 480

DeepSeek-V3 Technical Report

DeepSeek-AI, Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 294

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

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 243

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Ren, S., Guo, D., Lu, S., Zhou, L., Liu, S., Tang, D., Sundaresan, N., Zhou, M., Blanco, A., & Ma, S. (2020) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 214

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

Guo, D., Zhu, Q., Yang, D., Xie, Z., Dong, K., Zhang, W., Chen, G., Bi, X., Wu, Y., Li, Y. K., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 180

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

Shao, Z., Wang, P., Zhu, Q., Xu, R., Song, J., Bi, X., Zhang, H., Zhang, M., Li, Y. K., Wu, Y., et al. (2024) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 101

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

DeepSeek-AI, :, Bi, X., Chen, D., Chen, G., Chen, S., Dai, D., Deng, C., Ding, H., Dong, K., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 99

ReACC: A Retrieval-Augmented Code Completion Framework

Lu, S., Duan, N., Han, H., Guo, D., Hwang, S.-W., & Svyatkovskiy, A. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 96

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

DeepSeek-AI, Zhu, Q., Guo, D., Shao, Z., Yang, D., Wang, P., Xu, R., Wu, Y., Li, Y., Gao, H., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 51

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

DeepSeek-AI, Liu, A., Mei, A., Lin, B., Xue, B., Wang, B., Xu, B., Wu, B., Zhang, B., Lin, C., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

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

Guo, D., Xu, C., Duan, N., Yin, J., & McAuley, J. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 16

RepoTransBench: A Real-World Multilingual Benchmark for Repository-Level Code Translation

Wang, Y., Wang, Y., Wang, S., Guo, D., Chen, J., Grundy, J., Liu, X., Ma, Y., Mao, M., Zhang, H., et al. (2026) · IEEE Transactions on Software Engineering

Software Engineering ResearchNatural Language Processing Techniques

Cited by 12

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

Xin, H., Guo, D., Shao, Z., Ren, Z., Zhu, Q., Liu, B., Ruan, C., Li, W., & Liang, X. (2024) · arXiv

Mathematics, Computing, and Information ProcessingLogic, programming, and type systems

Cited by 8

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Ren, Z. Z., Shao, Z., Song, J., Xin, H., Wang, H., Zhao, W., Zhang, L., Fu, Z., Zhu, Q., Yang, D., et al. (2025) · arXiv

Mathematics, Computing, and Information ProcessingLogic, programming, and type systems

Cited by 4

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Xu, A., Lin, B., Xue, B., Wang, B., Xu, B., Wu, B., Zhang, B., Lin, C., Dong, C., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4