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Related Questions
- What are the limitations of current evaluation metrics for contextual understanding in language models?
- How can we design more effective tests to measure common sense reasoning in language models?
- What are the challenges in evaluating the ability of language models to reason about abstract concepts?
- How can we distinguish between superficial understanding and deep understanding of context in language models?
- What are the implications of contextual understanding and common sense reasoning on downstream NLP tasks?
- Can we develop more nuanced evaluation metrics that capture the subtleties of human-like contextual understanding?
- How can we ensure that language models are not just memorizing patterns, but truly understanding the context in which they are being used?
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