Article

Semantic Contextual Embedding for Domain-Specific Task Transfer in Large Language Models

2024-10-29

Abstract excerpt

LLMs have shown high capacity to process and generate human-like text across diverse applications, yet their performance often declines in specialized fields where precise terminology and domain-specific context are essential. Addressing this limitation, Semantic Contextual Embedding (SCE) introduces a novel adaptive layer to LLM architectures, tailored to enhance semantic precision in domain-specific language tas...

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Literature Corpus work: 8011c789-3f98-5467-a1be-7a2760caec1a
DOI: 10.22541/au.173023612.27684854/v1

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