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Related Questions
- What are some techniques to improve out-of-vocabulary (OOV) entity handling in large language models?
- How can we fine-tune the model to handle OOV entities more effectively?
- What are some strategies to increase the model's ability to recognize and handle OOV entities?
- Can we use transfer learning to adapt the model to new OOV entities?
- How can we leverage subword modeling to improve OOV entity handling?
- What are some techniques to inject OOV knowledge into the model during fine-tuning?
- Can we use data augmentation to increase the model's exposure to OOV entities?
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