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Related Questions
- What metrics can be used to measure a model's ability to handle ambiguous questions?
- How can a model be fine-tuned to better understand natural language nuances?
- What are some common pitfalls in evaluating a model's ability to handle ambiguity in question phrasing?
- Can you explain the concept of 'adversarial testing' in the context of question ambiguity?
- How can a model be made more robust to out-of-vocabulary words in question phrasing?
- What is the role of active learning in improving a model's ability to handle ambiguous questions?
- Can you discuss the trade-off between model complexity and its ability to handle ambiguity in question phrasing?
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