This article discusses the importance of evaluating conversational AI models and provides an overview of common metrics used, including perplexity and BLEU score.
This standard provides guidelines for evaluating conversational AI models, including metrics for dialogue management, natural language understanding, and response generation.
This guide provides an in-depth overview of metrics used to evaluate chatbot performance, including user engagement, conversation flow, and intent recognition.
This paper proposes a human evaluation metric for conversational AI models, which assesses the model's ability to engage in coherent and informative conversations.
This article discusses the use of automated metrics, such as ROUGE score and METEOR score, for evaluating conversational AI models, and provides a comparison with human evaluation metrics.
This toolkit provides a set of tools and metrics for evaluating conversational AI models, including dialogue management, natural language understanding, and response generation.
This survey provides an overview of existing evaluation metrics for conversational AI models, including their strengths and limitations, and discusses future research directions.
This guide provides best practices for evaluating conversational AI models, including the use of multiple metrics, human evaluation, and continuous testing and iteration.