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Peking University
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ReasonAlloc reallocates KV cache resources in real-time, achieving superior reasoning efficiency with minimal overhead.
MiniMax-M2 proves that massive parameter counts don't always translate to better agentic performance; strategic activation of a smaller subset can unlock frontier-level intelligence.
Turns out, you can cut critical errors in VLM-generated image editing instructions in half with a clever two-stage training pipeline, leading to SOTA editing performance.