Conceptual Diagnostics for Knowledge Graphs and Large Language Models (2025.acl-industry)
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| Challenge: | Xu et al., 2024) argue that LLMs can be learned via conceptual consistency. |
| Approach: | They propose a method that takes concept hierarchies from a knowledge graph and generates benchmarks that test conceptual consistency in LLMs. |
| Outcome: | The proposed method reveals rates of conceptual inconsistencies in several state-of-the-art LLMs. |
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