Roman_lab at MIRROR@IberLEF 2026: Style-Aware Synthetic Data Generation for Motivational Interviewing
The participation of the Roman_lab team in the MIRROR shared task at IberLEF 2026 suggests that linguistic alignment between synthetic training data and hidden evaluation data may significantly affect downstream performance in low-resource Motivational Interviewing classification settings.
Dimitris Bilianos, Katerina Florou
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