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Summarize, Judge, Refine: Decoupled Content Understanding and Policy Learning for Multimodal Content Moderation
Not provided in the abstract
multimodalcontent moderationpolicy learninginterpretability
2609.22094
Builder Relevance
1h ago80%
Abstract
The paper proposes a two-model architecture for content moderation that separates content understanding from policy classification, improving efficiency and interpretability.
Reality Card
Core Claim
The SJR architecture achieves a +23.6% relative non-misleading F1 score over a zero-shot baseline in misleading advertisement detection, demonstrating effective policy learning without real violation data.
Method / Result
+23.6% relative non-misleading F1 improvement over a zero-shot baseline.
Limitations
The approach relies on synthetic data generation, which may affect the generalizability of results to real-world scenarios.
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