Text-to-image (T2I) platforms typically return several images per prompt so users can explore different visual interpretations and choose one that matches their intent. However, T2I models are usually optimized for single-image quality which comes at a cost of multi-image diversity, limiting this exploration. Diversity...
Simran Khanuja, Rohit Gandikota, Gaurav Parmar et al.· 0 citations
A simple, training-free framework in which a reasoning-capable vision-language model iteratively searches and reasons over Wikipedia, gathering evidence dynamically, shows that reasoning and retrieval are complementary on rare entities.
Parinthapat Pengpun, Simran Khanuja, Graham Neubig· 0 citations
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.
Akhila Yerukola, Fabrice Y. Harel-Canada, Simran Khanuja et al.· 0 citations
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