Unverified50% confidenceFactExact time
The NCM model contains a compressor (which encodes text into multi-layer concept codes) and a Transformer generator (which predicts the next layer of concepts), with one forward pass per layer.
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50%
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Long-term
Relevance
10/28/2026
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Related Claims
UnverifiedThe second stage of NCM uses a Transformer to predict the discrete codes at each level in parallel, and the prediction at each level is conditioned on the previous level.76% similarUnverifiedThe NCM (Next-Concept Modeling) approach was proposed to achieve parallel generation through hierarchical latent representations, seeking a balance between efficiency and information retention.70% similarUnverified多模态模型将不同模态数据通过各自编码器转换为统一向量表示，再送入同一Transformer架构进行联合推理70% similarUnverifiedNCP-ArchPreview proposes having language models model discrete concepts spanning multiple tokens in latent space through "Next Concept Prediction" (NCP).68% similarVerifiedLLMs generate text in an autoregressive manner based on the Transformer architecture, predicting only one token per forward pass and then appending that token to the input sequence before predicting the next token.67% similar
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