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Related Questions
- Can you elaborate on the concept of 'hallucination' in text generation models and how it affects literal language understanding?
- What are some common techniques used to mitigate the issue of 'hallucination' in text generation models?
- How do text generation models handle out-of-vocabulary words and their impact on literal language understanding?
- What is the role of contextualization in improving literal language understanding in text generation models?
- Can you discuss the importance of knowledge graph-based approaches in enhancing literal language understanding in text generation models?
- How do text generation models handle nuances of language, such as idioms, colloquialisms, and figurative language?
- What are some strategies for improving the literal language understanding of text generation models through pre-training and fine-tuning techniques?
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