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Tag: semantic

  • How to Tame Your LLM: Semantic Collapse in Continuous Systems

    How to Tame Your LLM: Semantic Collapse in Continuous Systems arXiv:2512.05162v1 Announce Type: new Abstract: We develop a general theory of semantic dynamics for large language models by formalizing them as Continuous State Machines (CSMs): smooth dynamical systems whose latent manifolds evolve under probabilistic transition operators. The associated transfer operator $P: L^2(M,mu) to L^2(M,mu)$ encodes…

  • Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI

    Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI Context engineering, semantic layers, and the evolution of retrieval for agentic AI The post Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI appeared first on Towards Data Science. Steve Hedden Go to original source

  • A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection

    A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection arXiv:2510.13093v1 Announce Type: new Abstract: Out-of-Distribution (OOD) detection is a cornerstone for the safe deployment of AI systems in the open world. However, existing methods treat OOD detection as a binary classification problem, a cognitive flattening that fails to distinguish between…

  • The Rise of Semantic Entity Resolution

    The Rise of Semantic Entity Resolution Semantic entity resolution uses language models to bring an increased level of automation to schema alignment, blocking (grouping records into smaller, efficient blocks for all-pairs comparison at quadratic, n² complexity), matching and even merging duplicate nodes and edges. In the past, entity resolution systems relied on statistical tricks such…

  • Measuring Semantic Information Production in Generative Diffusion Models

    Measuring Semantic Information Production in Generative Diffusion Models arXiv:2506.10433v1 Announce Type: new Abstract: It is well known that semantic and structural features of the generated images emerge at different times during the reverse dynamics of diffusion, a phenomenon that has been connected to physical phase transitions in magnets and other materials. In this paper, we…