AI RESEARCH

Modality-Decoupled Online Recursive Editing

arXiv CS.LG

ArXi:2605.20273v1 Announce Type: new Online model editing for multimodal large language models (MLLMs) requires assimilating a stream of corrections under tight compute and memory budgets. Yet editors developed for text-only LLMs often degrade on MLLMs: visually dominant activations skew the statistics that shape updates, causing cross-modal conflict, while sequential writes become entangled in a shared edit space and amplify long-horizon interference, causing inter-edit interference.