Unverified50% confidenceFactExact time
NCP-ArchPreview constructs a discrete concept vocabulary from the model's own hidden states via product quantization (PQ), requiring no external annotations.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedNCP-ArchPreview proposes having language models model discrete concepts spanning multiple tokens in latent space through "Next Concept Prediction" (NCP).73% similarUnverifiedNCP-ArchPreview predicts future concepts through a dedicated concept module and feeds the concept representations back to the token level to guide subsequent token generation.65% similarUnverifiedPPLM dynamically adjusts hidden state directions during the generation process by computing the gradient of a classifier with respect to the model's hidden states, steering outputs to better conform to target attributes.64% similarUnverifiedPerplexity is not a foundation model, but rather a product that is fine-tuned on top of existing foundation models and specifically optimized for search scenarios.60% similarUnverified时序一致性的主流实现方案分为条件化历史帧方法、显式3D锚点方法（NeRF/3DGS）和状态空间模型方法（如Mamba）三类60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/907838API
curl https://kongchang.com/api/v1/knowledge/claims/907838MCP
get_claim(id=907838)