RV-HATE uses reinforcement learning to dynamically weight multiple feature-focused modules and aggregates their outputs via voting for improved implicit hate speech detection across diverse datasets.
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RV-HATE: Reinforced Multi-Module Voting for Implicit Hate Speech Detection
RV-HATE uses reinforcement learning to dynamically weight multiple feature-focused modules and aggregates their outputs via voting for improved implicit hate speech detection across diverse datasets.