Forgetting isn't unified in unified multimodal models: editing only the image path leaves 24% recognition forgetting, while UniForget reaches 80% joint forgetting
Unified multimodal models generate images and understand them in one model, yet existing single-pathway unlearning methods struggle to make a target concept disappear from both pathways. UUBench pairs generation and understanding tasks around 30 target concepts and 60 same-category neighbors, and UniForget merges generation-side weight editing with understanding-side low-rank adapter updates into one checkpoint, reaching 80.0% joint forgetting on BAGEL-7B-MoT and 92.7% on Janus-Pro-7B while exposing a trade-off between forgetting and capability preservation.