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Harbin Institute of Technology
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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.
Current memory retrieval methods for emotional support agents fall far short of human-level empathy, struggling to proactively retrieve memories that address users' latent emotional needs.
Achieve reliable semantic text communication by retransmitting and combining latent representations, sidestepping the need for explicit protocol design.
