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Related Questions
- How does human annotator bias influence the development of a language model's linguistic understanding?
- Can inconsistent or inaccurate annotations in training data affect a language model's ability to recognize subtle language nuances?
- What impact does the quantity and diversity of human-annotated data have on a language model's capacity to understand complex language phenomena?
- How does the quality of human annotation affect a language model's ability to generalize to new, unseen language inputs?
- Can the annotation process itself introduce errors or biases that are reflected in the language model's understanding of language?
- How does the use of active learning strategies, such as human-in-the-loop annotation, impact the quality of language model training?
- What role does human evaluation play in assessing the accuracy and reliability of a language model's understanding of language nuances?
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