This article discusses the key criteria for evaluating conversational AI models, including engagement, coherence, and overall user experience.
The National Institute of Standards and Technology provides a detailed list of evaluation criteria for conversational AI models, including accuracy, fluency, and context understanding.
This article presents various metrics and methodologies for evaluating conversational AI models, such as dialogue state tracking and response generation.
This toolkit provides a set of pre-built evaluation metrics and tools for assessing conversational AI models, including conversational flow and user satisfaction.
This research paper explores the use of human evaluators to assess conversational AI models, including the benefits and challenges of this approach.
This video lecture discusses the challenges and opportunities in evaluating conversational AI models, including the need for more robust evaluation metrics and methodologies.
This article provides best practices for evaluating conversational AI models, including the importance of testing with diverse user groups and scenarios.
This open-source framework provides a set of tools and metrics for evaluating conversational AI models, including support for multiple evaluation metrics and datasets.