Hang Hao

Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition

Object–context shortcuts remain a persistent challenge in vision‑language models, undermining zero‑shot reliability when test-time scenes diverge from familiar training co-occurrences. We recast this issue as a causal inference problem and ask: Would the prediction remain if the object appeared in a…