Article

Semantic Calibration of Contextual Embedding in Large Language Model Generative Pathways Using Contextual-Distillation Mechanisms

2024-11-05

Abstract excerpt

Language models have achieved substantial advancements in generating text that approximates human-like coherence, yet challenges in maintaining contextual alignment across diverse inputs remain unresolved. Addressing these challenges through a novel mechanism, contextual-distillation introduces a structured recalibration of embeddings to mitigate issues of semantic drift and inconsistency in generative pathways. T...

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Literature Corpus work: 76e7ab47-268e-51ec-bf8b-6626e5daed56
DOI: 10.22541/au.173083559.99022925/v1

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