Jinzhi Liao

NeuCon-ICE: Neuron-Level Controllable In-Context Editing for Multimodal Large Language Models

Multimodal knowledge editing (MKE) aims to efficiently rectify outdated or incorrect knowledge in multimodal large language models (MLLMs) while preserving reliability, generality, and locality. Recently, in-context editing (ICE) has emerged as a prevalent paradigm for MKE, focusing on inference-time context manipulati...