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SyRHM combines symbolic reasoning and associative retrieval for zero-shot harmful meme detection
Researchers propose SyRHM, a method for detecting harmful memes without task-specific training data. It targets implicit harm that comes from mismatches between image and text or from cultural stereotypes, which tripped up earlier multimodal detectors. The approach adds symbolic-language reasoning alongside associative retrieval to improve zero-shot performance.