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TANDEM: Multimodal Hate Speech Detection by kiriloproskurnin228 is a document available to read on EtoBox.

The document introduces TANDEM, a novel framework for detecting multimodal hate speech on social media, which transforms the detection task into a structured reasoning problem. It employs a tandem reinforcement learning strategy to optimize cross-modal models, achieving significant improvements in target identification and temporal grounding compared to existing methods. The framework aims to provide interpretable outputs for effective moderation of long-form audio-visual content, addressing the complexitie

Author
kiriloproskurnin228
Language
EN