A methodology is proposed to infer, embed during generation, and recover from text the latent functional role AI played in natural language output, validated in assistive vs. creative scenarios.
Computing machinery and intelligence,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Smart Embedding reduces parameters by 48.3 percent in polyphonic music models with information-theoretic loss bounds under 0.153 bits and tighter generalization via Rademacher complexity.
citing papers explorer
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On the Role of Artificial Intelligence in Human-Machine Symbiosis
A methodology is proposed to infer, embed during generation, and recover from text the latent functional role AI played in natural language output, validated in assistive vs. creative scenarios.
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Mathematical Foundations of Polyphonic Music Generation via Structural Inductive Bias
Smart Embedding reduces parameters by 48.3 percent in polyphonic music models with information-theoretic loss bounds under 0.153 bits and tighter generalization via Rademacher complexity.