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Related Questions
- What are the key differences between Fluency Score and Coherence Score in evaluating conversational AI models?
- Can you explain how Fluency Score and Coherence Score are used to evaluate the naturalness of generated text?
- How do these metrics impact the overall ranking of conversational AI models in a given benchmark?
- What are some common pitfalls or limitations of using Fluency Score and Coherence Score as evaluation metrics?
- How do researchers and developers incorporate feedback from these metrics into the training process of conversational AI models?
- Can you provide examples of how Fluency Score and Coherence Score are applied in real-world conversational AI applications?
- What are the future directions for improving the evaluation of conversational AI models beyond Fluency Score and Coherence Score?
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