2 citations · 4 across the 3 of their papers we have counts for
5 papers
Imprinting: Knowledge Distillation Can Shift Student Behavior
Yu-Chien Tang, An-Zi Yen
Knowledge distillation trains student models on teacher-generated responses to transfer task capability, but those responses may also carry behavioral tendencies of their source. W…
World Editing: Intervening on Executable Worlds at Increasing Depth
Max Ku, Nok-Kan Law, Yu-Chien Tang +15
Interactive world models are increasingly capable of generating environments and acting within them, yet deliberately editing an existing executable world remains underexplored. We…
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training
Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen +1
The dialogue systems in customer services have been developed with neural models to provide users with precise answers and round-the-clock support in task-oriented conversations by…
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis
Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou +1
This paper presents a robust solution to the Memotion 3.0 Shared Task. The goal of this task is to classify the emotion and the corresponding intensity expressed by memes, which ar…
EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods
Wei-Yao Wang, Kai-Shiang Chang, Yu-Chien Tang
This paper provides a method to classify sentiment with robust model based ensemble methods. We preprocess tweet data to enhance coverage of tokenizer. To reduce domain bias, we fi…