Researcher, Shanghai AI Laboratory
3 papers at NeurIPS 2025
We propose CARML, a novel retrieval-augmented editing framework that integrates conflict-aware dynamic retrieval with multi-level collaborative guidance for reliable lifelong multimodal editing.