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NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction
We introduce NCP-ArchPreview, a latent-space language model that pushes autoregressive pretraining beyond standard next-token prediction (NTP). Alongside NTP, the model learns through Next Concept Prediction (NCP) to predict discrete concepts that span multiple tokens, introducing an explicit and more challenging concept-level objective while preserving standard token-level autoregressive generation. NCP-ArchPreview builds a latent space by constructing a product-quantized concept vocabulary directly from its hidden states, and subsequently learns to predict future concepts via a dedicated Con
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T18:12:43.000Z
First collected: 2026-09-20T19:12:12.556Z. This is not the publication date.