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Related Questions
- What are some common biases that can occur in evaluation tasks for contextual understanding?
- How can evaluators ensure that tasks are not culturally or linguistically biased?
- What are some ways to assess contextual understanding in tasks that involve nuanced or ambiguous language?
- How can evaluation tasks be designed to capture the nuances of human communication, such as idioms, sarcasm, and figurative language?
- What are some common pitfalls to avoid when using human evaluators to assess contextual understanding?
- How can machine learning models be evaluated to ensure they can understand context in a way that is similar to humans?
- What are some best practices for designing evaluation tasks that can accurately assess a model's ability to understand context in a given domain or task?
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