GUNLP at SemEval-2026 Task 10: Emotion-Aware Multi-Task Learning for Conspiracy Detection
· 0 citations
· 24 references
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.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.