PolicyShiftGuard-3B
📚 Paper | 💻 GitHub | 🏠 Project Page
PolicyShiftGuard-3B is a policy-conditioned image guardrail model based on Qwen2.5-VL-3B. It is trained to decide whether an image violates a supplied policy bundle and to return a structured safe/unsafe decision with the violated risk category when applicable.
Expected Output Format
true | <two-digit risk category id> | <short reason>
false | <short reason>
Training Data
This checkpoint is trained with the PolicyShiftBench public data release:
- Dataset:
PolicyShiftBench/PolicyShiftBench - Main evaluation splits: ID/adaptive branch and OOD/shift branch
- Training stages: randomized policy SFT followed by boundary-pair policy adaptation
Intended Use
Use this model for research on policy-conditioned multimodal safety, adaptive image moderation, and robustness under policy shifts. The model should be evaluated with explicit policy bundles rather than as a fixed universal safety classifier.
Limitations
This is a research checkpoint. It may fail under policies, languages, visual domains, or deployment settings not represented in the benchmark. Outputs should not be treated as legal or compliance advice.