3 papers
cs.CL2025
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning
Haolin Yang, Hakaze Cho, Yiqiao Zhong +1
The unusual properties of in-context learning (ICL) have prompted investigations into the internal mechanisms of large language models. Prior work typically focuses on either speci…
cs.LG2025
Pareto Optimal Algorithmic Recourse in Multi-cost Function
Wen-Ling Chen, Hong-Chang Huang, Kai-Hung Lin +2
In decision-making systems, algorithmic recourse aims to identify minimal-cost actions to alter an individual features, thereby obtaining a desired outcome. This empowers individua…
cs.LG2025
PXGen: A Post-hoc Explainable Method for Generative Models
Yen-Lung Huang, Ming-Hsi Weng, Hao-Tsung Yang
With the rapid growth of generative AI in numerous applications, explainable AI (XAI) plays a crucial role in ensuring the responsible development and deployment of generative AI t…