A cascade of an embedding router and a fine-tuned multimodal LLM ranker is claimed to improve content moderation F1 by 66.5% while using 1.5% of the compute of direct LLM deployment.
In Findings of the Association for Computational Linguistics: ACL 2024, pages 5735– 5748, Bangkok, Thailand
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Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
A cascade of an embedding router and a fine-tuned multimodal LLM ranker is claimed to improve content moderation F1 by 66.5% while using 1.5% of the compute of direct LLM deployment.