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Found 4 papers, 2 papers with code
K-ON: Stacking Knowledge On the Head Layer of Large Language Model
Recent advancements in large language models (LLMs) have significantly improved various natural language processing (NLP) tasks.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
Compared to existing domain LLMs based on newly collected large-scale domain-specific corpora, our OntoTune, which relies on the existing, long-term developed ontology and LLM itself, significantly reduces data maintenance costs and offers improved generalization ability.
MKGL: Mastery of a Three-Word Language
Large language models (LLMs) have significantly advanced performance across a spectrum of natural language processing (NLP) tasks.
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
The recently developed retrieval-augmented generation (RAG) technology has enabled the efficient construction of domain-specific applications.
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