4 citations · 4 across the 4 of their papers we have counts for
5 papers
Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation
Yi-Fu Fu, Keng-Te Liao, Shou-De Lin
Numerous algorithms have been developed for Conditional Average Treatment Effect (CATE) estimation. In this paper, we first highlight a common issue where many algorithms exhibit i…
Neuron-Level Differentiation of Memorization and Generalization in Large Language Models
Ko-Wei Huang, Yi-Fu Fu, Ching-Yu Tsai +8
We investigate how Large Language Models (LLMs) distinguish between memorization and generalization at the neuron level. Through carefully designed tasks, we identify distinct neur…
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting
Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao +1
Converting different modalities into generalized text, which then serves as input prompts for large language models (LLMs), is a common approach for aligning multimodal models, par…
Enhance the Robustness of Text-Centric Multimodal Alignments
Ting-Yu Yen, Yun-Da Tsai, Keng-Te Liao +1
Converting different modalities into general text, serving as input prompts for large language models (LLMs), is a common method to align multimodal models when there is limited pa…
Environment Diversification with Multi-head Neural Network for Invariant Learning
Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao +1
Neural networks are often trained with empirical risk minimization; however, it has been shown that a shift between training and testing distributions can cause unpredictable perfo…