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Related Questions
- What are the key factors that influence a language model's ability to understand figurative language?
- How does the training data size impact a language model's capacity to recognize metaphors and similes?
- Can larger language models outperform smaller ones in tasks involving metaphorical and simile-based language comprehension?
- What are some common challenges in training language models to recognize metaphors and similes?
- How do different pre-training objectives, such as masked language modeling or next sentence prediction, affect a language model's ability to recognize metaphors and similes?
- Are there any specific architectural designs or techniques that can enhance a language model's ability to recognize metaphors and similes?
- Can language models be fine-tuned to improve their performance on metaphor and simile recognition tasks, and if so, how?
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