FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection 事件

FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection arXiv:2605.31349v1 Announce Type: cross Abstract: Hateful meme detection remains a formidable challenge for vision-language models, as existing benchmarks are structurally observational - confounding rhetorical hate mechanisms with target community features and preventing causal evaluation of model vulnerabilities. To address this, we introduce FBHM, a systematically curated benchmark of Functionality Based Hateful Me