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Related Questions
- What is the role of ontology alignment in improving the performance of language models on out-of-distribution data?
- How does ontology alignment affect the ability of a language model to capture nuanced semantic relationships between concepts?
- Can you explain the relationship between ontology alignment and the concept of inductive bias in machine learning?
- How does ontology alignment impact the robustness of language models to changes in domain or task?
- What are some common challenges in ontology alignment that can impact the generalizability of language models?
- Can you discuss the trade-offs between ontology alignment and other factors that influence language model generalizability, such as data quality and model capacity?
- How can ontology alignment be used to improve the transferability of language models across different tasks and domains?
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