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Together, we are building artificial general intelligence with everyone, ensuring AI is accessible to everyone, and addressing the challenges of tomorrow responsibly.
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Here are our tech report and paper:
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- [MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention](https://arxiv.org/abs/2506.13585)
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- [SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond](https://arxiv.org/abs/2505.19641)
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- [One RL to See Them All: Visual Triple Unified Reinforcement Learning](https://arxiv.org/abs/2505.18129)
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Together, we are building artificial general intelligence with everyone, ensuring AI is accessible to everyone, and addressing the challenges of tomorrow responsibly.
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Here are our tech report and paper:
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- MiniMax M2 Tech Blogs:
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- Tech Blog 1: [What makes good reasoning data](https://huggingface.co/blog/MiniMax-AI/what-makes-good-reasoning-data)
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- Tech Blog 2: [Aligning to What? Rethinking Agent Generalization in MiniMax M2](https://huggingface.co/blog/MiniMax-AI/aligning-to-what)
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- Tech Blog 3: [Why Did MiniMax M2 End Up as a Full Attention Model?](https://huggingface.co/blog/MiniMax-AI/why-did-m2-end-up-as-a-full-attention-model)
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- [MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention](https://arxiv.org/abs/2506.13585)
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- [SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond](https://arxiv.org/abs/2505.19641)
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- [One RL to See Them All: Visual Triple Unified Reinforcement Learning](https://arxiv.org/abs/2505.18129)
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