---
title: "Daya Guo — papers"
description: "Daya Guo: 8 papers in the Elamur Research library (2020–2025) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/daya-guo/"
---
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# Daya Guo

8 papers on this site (2020–2025)

[OpenAlex](https://openalex.org/A5060364305) · [ORCID](https://orcid.org/0009-0008-0822-1517) · h-index 23 · 73 works · 7116 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deepseek-2025-ai-deepseek-r1-incentivizing-reasoning-capability/) — DeepSeek-AI, Daya Guo, Dejian Yang, et al. · 2025
- [DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence](https://md.research.elamur.ai/free/en/papers/deepseek-2024-ai-deepseek-coder-v2-breaking-barrier/) — DeepSeek-AI, Qihao Zhu, Daya Guo, et al. · 2024
- [DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data](https://md.research.elamur.ai/free/en/papers/xin-2024-deepseek-prover-advancing-theorem-proving/) — Huajian Xin, Daya Guo, Zhihong Shao, et al. · 2024
- [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://md.research.elamur.ai/free/en/papers/shao-2024-deepseekmath-pushing-limits-mathematical-reasoning/) — Zhihong Shao, Peiyi Wang, Qihao Zhu, et al. · 2024
- [Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data](https://md.research.elamur.ai/free/en/papers/xu-2023-baize-open-source-chat-model/) — Canwen Xu, Daya Guo, Nan Duan, et al. · 2023
- [UniXcoder: Unified Cross-Modal Pre-training for Code Representation](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/) — Daya Guo, Shuai Lu, Nan Duan, et al. · 2022
- [GraphCodeBERT: Pre-training Code Representations with Data Flow](https://md.research.elamur.ai/free/en/papers/guo-2021-graphcodebert-pre-training-code-representations/) — Daya Guo, Shuo Ren, Shuai Lu, et al. · 2021
- [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/) — Zhangyin Feng, Daya Guo, Duyu Tang, et al. · 2020