DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
Paper
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2504.21801
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Published
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2
📑 DeepSeek Papers
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
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DeepSeek-V3 Technical Report
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DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
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DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
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DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
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DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
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DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
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DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
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DeepSeek-VL: Towards Real-World Vision-Language Understanding
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DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
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Inference-Time Scaling for Generalist Reward Modeling
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DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
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Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
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Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
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Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
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Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
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