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Related Questions
- What are some common methods for testing the robustness of language models to out-of-domain data?
- How can we assess the ability of language models to handle ambiguous or incomplete context in real-world scenarios?
- What are some techniques for evaluating the robustness of language models to adversarial attacks or intentionally misleading input?
- Can you explain the concept of 'contextual understanding' in language models and how it relates to robustness?
- How do we measure the 'generalizability' of language models to new, unseen data or contexts?
- What role does 'common sense' play in evaluating the robustness of language models to real-world scenarios?
- Can you discuss the trade-offs between model complexity, interpretability, and robustness in language models?
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