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MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
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HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing
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What Does Vision Tool-Use Reinforcement Learning Really Learn? Disentangling Tool-Induced and Intrinsic Effects for Crop-and-Zoom
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OCTOBENCH: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
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Towards Scalable Pre-training of Visual Tokenizers for Generation
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ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual Reasoning
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WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
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Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation
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SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
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OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks
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One RL to See Them All: Visual Triple Unified Reinforcement Learning
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MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
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Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
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MiniMax-01: Scaling Foundation Models with Lightning Attention
