Papers with static knowledge embedding

1 papers
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey (2025.findings-emnlp)

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Challenge: specialized LLMs are often limited in domain-specific applications that require specialized knowledge.
Approach: They provide a comprehensive overview of four key methods to enhance large language models by integrating domain-specific knowledge.
Outcome: The proposed methods are categorized into four key approaches: dynamic knowledge injection, static knowledge embedding, modular adapters, and prompt optimization.

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