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Related Questions
- How does the choice of sampling strategy for negative examples affect the performance of contrastive learning for analogy generation?
- Can you explain the implications of oversampling or undersampling negative examples on the quality of analogies generated through contrastive learning?
- In what ways does the use of negative sampling in contrastive learning affect the model's ability to generalize to new and unseen analogy types?
- How does the balance between positive and negative sampling impact the learning dynamics in contrastive learning for analogy generation?
- Can you discuss the trade-offs between using random negative sampling, hard negative mining, and easy negative sampling in contrastive learning for analogy generation?
- What role does the number of negative samples play in the learning process for analogy generation in contrastive learning?
- How does the quality of negative samples impact the effectiveness of contrastive learning for generating high-quality analogies?
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