SCENE is a new benchmark for testing LLMs on recognizing implicit social norms and adapting to sanctions in multi-party group chats.
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Wavelet features with elastic net achieve patient-level AUC 0.874 on CESM malignancy detection under patient-grouped CV, matching ResNet-50 performance while providing explicit physical interpretability per predictor.
Position paper identifies three risks in the SEO-to-GEO transition and argues for answer-level governance focused on contestability, disclosure, auditing, and aligned metrics.
citing papers explorer
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SCENE: Recognizing Social Norms and Sanctioning in Group Chats
SCENE is a new benchmark for testing LLMs on recognizing implicit social norms and adapting to sanctions in multi-party group chats.
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Masked complex non-decimated wavelet features for patient-level classification of contrast-enhanced mammography
Wavelet features with elastic net achieve patient-level AUC 0.874 on CESM malignancy detection under patient-grouped CV, matching ResNet-50 performance while providing explicit physical interpretability per predictor.
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Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots
Position paper identifies three risks in the SEO-to-GEO transition and argues for answer-level governance focused on contestability, disclosure, auditing, and aligned metrics.
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