3 papers
cs.LG2025
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…
cs.CL2024
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…
cs.LG2024
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…