3 papers
cs.CL2025
Towards Automated Error Discovery: A Study in Conversational AI
Dominic Petrak, Thy Thy Tran, Iryna Gurevych
Although LLM-based conversational agents demonstrate strong fluency and coherence, they still produce undesirable behaviors (errors) that are challenging to prevent from reaching u…
cs.CL2024
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues
Dominic Petrak, Thy Thy Tran, Iryna Gurevych
Implicit user feedback, user emotions and demographic information have shown to be promising sources for improving the accuracy and user engagement of responses generated by dialog…
cs.CL2023
Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?
Dominic Petrak, Nafise Sadat Moosavi, Ye Tian +2
Learning from free-text human feedback is essential for dialog systems, but annotated data is scarce and usually covers only a small fraction of error types known in conversational…