2 papers
cs.HC2026
Chatbot Engagement Does Not Always Beget Metalearning: Evidence from Three Countries
Kokil Jaidka, Insyirah Binte Imam Mujtahid, Peng Qi +5
Chatbots deliver real-time fact-checks, but whether a chatbot correction leaves anything behind once the chatbot is gone - metalearning, distinct from correcting misbeliefs - is un…
cs.CV2026
Can One-Shot Test-Time Data Augmentation Help with Generalization?
Yunwei Bai, Yao Shu, Ying Kiat Tan +1
Data augmentation is crucial for model generalization, but existing methods are mostly centered on the training stage. Test-time augmentation, while underexplored, can be practical…