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Related Questions
- How does data augmentation improve the robustness of language models to domain-specific jargon?
- Can you explain the techniques used in data augmentation to handle domain-specific jargon in LLMs?
- What is the impact of data augmentation on the generalizability of LLMs in the presence of domain-specific jargon?
- How does data augmentation address the issue of vocabulary mismatch between training and test data in LLMs?
- Can you discuss the trade-offs between data augmentation and other techniques for handling domain-specific jargon in LLMs?
- What are the challenges of applying data augmentation to mitigate the effects of domain-specific jargon in LLMs?
- How does data augmentation enhance the interpretability of LLMs in the presence of domain-specific jargon?
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