18 citations · 25 across the 5 of their papers we have counts for
3 papers · 1 filter
Improving Continual Learning of Knowledge Graph Embeddings via Informed Initialization
Gerard Pons, Besim Bilalli, Anna Queralt
Many Knowledege Graphs (KGs) are frequently updated, forcing their Knowledge Graph Embeddings (KGEs) to adapt to these changes. To address this problem, continual learning techniqu…
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
Gerard Pons, Besim Bilalli, Anna Queralt
Recent advances in Large Language Models (LLMs) have positioned them as a prominent solution for Natural Language Processing tasks. Notably, they can approach these problems in a z…
Towards Continuous Experiment-driven MLOps
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos +5
Despite advancements in MLOps and AutoML, ML development still remains challenging for data scientists. First, there is poor support for and limited control over optimizing and evo…