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Found 2 papers, 2 papers with code
$μ\text{KG}$: A Library for Multi-source Knowledge Graph Embeddings and Applications
It is useful for a thorough comparison and analysis of various embedding models and tasks.
KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation
Parameter-efficient finetuning (PEFT) is a key technique for adapting large language models (LLMs) to downstream tasks.
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