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MULTIPITA: Reorganizing Compute Without Compressing Identity

How NINMENI approaches the computational cost of native character-identity modeling Large language models usually make an implicit compromise: text is compressed into tokens or other larger units…

  • NINMENI maintains static identities for normalized characters in large language models
  • MULTIPITA explores reorganizing computation around characters' distinct identities
  • NINMENI uses 10,240 identity slots to retain each character's unique identity

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