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Related Questions
- What are the differences between static and dynamic negative sampling strategies in the context of analogical reasoning?
- How does the choice of negative sampling strategy impact the model's ability to generalize to novel analogies?
- Can you explain the concept of 'noise contrastive estimation' and its relevance to negative sampling in analogical learning?
- How does the frequency of negative samples affect the model's learning of analogical relationships?
- What are the trade-offs between using more or fewer negative samples in analogical reasoning tasks?
- Can you discuss the impact of negative sampling strategy on the model's ability to learn abstract analogies?
- How does the choice of negative sampling strategy influence the model's learning of inverse analogies?
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