Leo Miao

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upvoted a paper 2 months ago

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 263

upvoted a collection 2 months ago

MiniMax-M1

Collection

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. • 6 items • Updated Jul 3 • 110

upvoted 2 papers 3 months ago

SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Paper • 2505.19641 • Published May 26 • 67

One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 60

upvoted a collection 3 months ago

One-RL-to-See-Them-All

Collection

One RL to See Them All: Visual Triple Unified Reinforcement Learning. GitHub: https://github.com/MiniMax-AI/One-RL-to-See-Them-All • 5 items • Updated Jun 10 • 27

upvoted an article 7 months ago

view article

Article

MiniMax-01 is Now Open-Source: Scaling Lightning Attention for the AI Agent Era

By •

Jan 15

• 47

upvoted a paper 7 months ago

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298