Yanning Zhang

Correcting a vision-language model's "hallucinations" is now as simple as pinpointing and editing the right intermediate representation, sidestepping costly retraining or dual inference.

By decomposing object features into interpretable concepts, this work reveals *why* open-world object detectors confuse known and unknown objects, paving the way for more reliable and transparent systems.