---
title: "DeepSeek-AI — papers"
description: "DeepSeek-AI: 4 papers in the Elamur Research library (2024–2026) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/deepseek-ai/"
---
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# DeepSeek-AI

4 papers on this site (2024–2026)

- [DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence](https://md.research.elamur.ai/free/en/papers/deepseek-2026-ai-deepseek-v4-highly-efficient/) — DeepSeek-AI, Anyi Xu, Bangcai Lin, et al. · 2026
- [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-V3.2: Pushing the Frontier of Open Large Language Models](https://md.research.elamur.ai/free/en/papers/deepseek-2025-ai-deepseek-v3-2-pushing/) — DeepSeek-AI, Aixin Liu, Aoxue Mei, 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