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LLMersion is proposed, a scheme for AI for education that runs entirely at home, over the learner's own documents, with an AI-written, AI-understood, AI-updated codebase anyone can customize; and presents LLMersion-1, a released open-source prototype.
We argue that a recurring failure in the evaluation of deployed AI systems occurs when data collected for operational monitoring or regulatory compliance are interpreted as if they were designed for comparative evaluation. Automated driving provides a concrete example of this problem. U.S. disengagement and crash-repor...
CallosumNet is a spatio-temporal graph unlearning framework biologically inspired by the corpus callosum structure that reconstructs subgraphs using biologically-inspired virtual edges and restores interlinked spatio-temporal dependencies among subgraphs via a lightweight meta-graph integration layer.
IsleNet is proposed, which uses spatial-entropy-guided partitioning to create balanced, locally coherent subgraphs and reconnects them with lightweight virtual edges and ensures exact removal with low cost of ST-graph unlearning.
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