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NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction
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latent-space modelsnext-token predictionconcept prediction
2609.10715
Builder Relevance
4h ago80%
Abstract
NCP-ArchPreview is a latent-space language model that enhances autoregressive pretraining by incorporating Next Concept Prediction alongside standard next-token prediction.
Reality Card
Core Claim
NCP-ArchPreview achieves a significant performance improvement over OLMo-3-7B by utilizing only 51.3% of the total training tokens and 85% of the standard computation.
Method / Result
Outperforms OLMo-3-7B by 2.45 points on the downstream macro-average, with a notable 5.99-point gain on GSM8K.
Limitations
The paper does not specify authors or provide detailed reproducibility instructions.
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