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Related Questions
- How can data augmentation techniques be used to improve LLMs' ability to handle out-of-vocabulary words and domain adaptation?
- What role does active learning play in enabling LLMs to learn from uncertain or ambiguous linguistic inputs?
- How can multimodal LLMs be designed to better handle linguistic uncertainty in scenarios involving spoken language and visual cues?
- What techniques can be employed to improve the robustness of LLMs to linguistic noise, such as typos and grammatical errors?
- Can reinforcement learning be used to teach LLMs to handle linguistic uncertainty in real-world scenarios, and if so, how?
- How can LLMs be fine-tuned to handle domain-specific linguistic variability and uncertainty?
- What is the impact of incorporating world knowledge and common sense reasoning on LLMs' ability to handle linguistic uncertainty in real-world scenarios?
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