Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Feature-level Interaction Explanations in Multimodal Transformers
Yeji Kim, Housam Khalifa Bashier Babiker, Mi-Young Kim +1
Multimodal Transformers often produce predictions without clarifying how different modalities jointly support a decision. Most existing multimodal explainable AI (MXAI) methods ext…
cs.LG2026
Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models
Yejin Kim, Dongjun Hwang, Sungmin Cha +1
Large Vision-Language Models (LVLMs) are widely adopted for their strong multimodal capabilities, yet they raise serious concerns such as privacy leakage and harmful content genera…
cs.LG2025
Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning
Yejin Kim, Eunwon Kim, Buru Chang +1
LLMs have demonstrated remarkable performance across various tasks but face challenges related to unintentionally generating outputs containing sensitive information. A straightfor…