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Ezekiel Soremekun

1 accepted papers

2024

Knowledge-based Consistency Testing of Large Language Models

EMNLP 2024finding

In this work, we systematically expose and measure the inconsistency and knowledge gaps of Large Language Models (LLMs). Specifically, we propose an automated testing framework (called KONTEST) which leverages a knowledge graph to construct test cases. KONTEST probes and measures the inconsistencies…