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Related Questions
- What are the potential biases in large language models that can affect their accuracy in language assessment?
- How do large language models handle out-of-vocabulary words or domain-specific terminology in language assessment?
- Can large language models be used to create authentic and engaging language assessment tasks, or do they rely on pre-defined formats?
- What is the impact of overfitting on the performance of large language models in language assessment?
- How do large language models account for context and nuance in language, and can they capture the complexity of human language?
- What are the limitations of large language models in assessing oral language skills, such as speaking and listening?
- Can large language models be used to identify and mitigate the effects of test anxiety and other extraneous factors on language assessment?
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