calm-continuous-autoregressive-language-models

【开发与工程】Replace discrete token prediction with continuous vector prediction by training a high-fidelity autoencoder to compress K tokens into single latent vectors, enabling K-fold sequence length reduction while maintaining likelihood-free generation through energy-based scoring rules.

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