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- LLM-KG-Bench Public
LLM-KG-Bench is a Framework and task collection for automated benchmarking of Large Language Models (LLMs) on Knowledge Graph (KG) related tasks.
AKSW/LLM-KG-Bench’s past year of commit activity - frankgraphbench Public
The FranKGraphBench is a Framework to allow KG Aware RSs to be benchmarked in a reproducible and easy to implement manner. It was first created on Google Summer of Code 2023 for Data Integration between DBpedia and some standard RS datasets in a reproducible framework.
AKSW/frankgraphbench’s past year of commit activity - LLM-Sparql-Results-2024 Public
results of SPARQL LLM-KG-Bench tasks for article "Assessing SPARQL capabilities of Large Language Models"
AKSW/LLM-Sparql-Results-2024’s past year of commit activity - ical.dataweek.de Public
AKSW/ical.dataweek.de’s past year of commit activity