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Related Questions
- How can LLMs integrate user feedback into their learning process?
- What mechanisms enable LLMs to learn from human feedback on idiomatic language tasks?
- Can LLMs be designed to detect and respond to subtle cues of user intent and tone in idiomatic language tasks?
- How does active learning affect the ability of LLMs to learn from human feedback and improve on idiomatic language tasks?
- Can meta-learning help LLMs generalize better to novel idiomatic language tasks through self-improvement based on user feedback?
- How does the effectiveness of user feedback in improving LLM performance on idiomatic language tasks depend on task characteristics, such as linguistic complexity or context reliance?
- Can cognitive architectures help simulate human-level intelligence and feedback mechanisms that drive the development of adaptive and autonomous LLMs capable of handling idiomatic language tasks?
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