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Carnegie Mellon University, Allen Institute for AI
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Though absolute performance remains low, finetuning on NormViz-Train improves pair accuracy relatively by up to 125% and 36% Qwen3-VL 4B and 8B respectively, showing a path forward to teach models to connect visual perception to cultural significance.
Cognitive Chain-of-Thought (CoCoT) is introduced, a reasoning framework that structures vision-language-model reasoning through three cognitively inspired stages: Perception, Situation, and Norm, showing that structuring model reasoning through cognitively grounded stages enhances interpretability and social alignment,...
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