2 papers
cs.LG2025
Knowledge Graph Embeddings with Representing Relations as Annular Sectors
Huiling Zhu, Yingqi Zeng
Knowledge graphs (KGs), structured as multi-relational data of entities and relations, are vital for tasks like data analysis and recommendation systems. Knowledge graph completion…
cs.CL2025
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Yao Liang, Yuwei Wang, Yi Zeng
The fine-tuning of Large Language Models (LLMs) is pivotal for achieving optimal performance across diverse downstream tasks. However, while full fine-tuning delivers superior resu…