PluRule is a new multimodal multilingual benchmark showing that state-of-the-art vision-language models perform only marginally better than a trivial baseline at detecting specific rule violations in pluralistic online communities.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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LeMUQ improves AUROC by 3.8% on average for uncertainty quantification in multimodal retrieval-augmented generation by processing multimodal probability signals with a finetuned model.
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PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media
PluRule is a new multimodal multilingual benchmark showing that state-of-the-art vision-language models perform only marginally better than a trivial baseline at detecting specific rule violations in pluralistic online communities.
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Uncertainty Quantification for Multimodal Retrieval Augmented Generation
LeMUQ improves AUROC by 3.8% on average for uncertainty quantification in multimodal retrieval-augmented generation by processing multimodal probability signals with a finetuned model.