Plausible Clarification

Plausible clarification research focuses on improving human-computer interaction by addressing ambiguity and uncertainty in communication, particularly in AI systems and human-human dialogue. Current research explores methods for generating clarifying questions, disambiguating user intent (e.g., using conformal prediction or tree-based approaches), and improving the accuracy of intent recognition in dialogue systems. This work is significant for advancing the development of more robust and user-friendly AI systems, as well as for a deeper understanding of human communication and knowledge representation.