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Related Questions
- Can large language models be fine-tuned on datasets with disambiguation contexts to improve their ability to resolve homograph ambiguity?
- How does training on disambiguation contexts affect the performance of LLMs on homograph recognition tasks?
- What are some common techniques used to include disambiguation contexts in LLM training data?
- Can LLMs learn to differentiate between homographs with disambiguation contexts in the training data?
- How does the inclusion of disambiguation contexts impact the evaluation metrics of LLMs on homograph tasks?
- Are there any specific challenges or considerations when training LLMs on data with disambiguation contexts for homograph resolution?
- Can the use of disambiguation contexts in LLM training data lead to improved generalization and robustness on homograph tasks?
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