23 citations · 29 across the 12 of their papers we have counts for
4 papers · 1 filter
Measuring and Improving Semantic Diversity of Dialogue Generation
Seungju Han, Beomsu Kim, Buru Chang
Response diversity has become an important criterion for evaluating the quality of open-domain dialogue generation models. However, current evaluation metrics for response diversit…
TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye, Kwanghee Choi, Hyeongmin Byun +1
Active learning (AL) aims to select the most useful data samples from an unlabeled data pool and annotate them to expand the labeled dataset under a limited budget. Especially, unc…
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild
Donghyun Son, Byounggyu Lew, Kwanghee Choi +5
Social media platforms struggle to protect users from harmful content through content moderation. These platforms have recently leveraged machine learning models to cope with the v…
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances
Seungju Han, Beomsu Kim, Jin Yong Yoo +4
In this paper, we consider mimicking fictional characters as a promising direction for building engaging conversation models. To this end, we present a new practical task where onl…