Do vision-language models search like humans? Reasoning tokens as a reaction-time analog in classic visual-search paradigms
arXiv:2606.25066v1 Announce Type: new Abstract: Visual search has been one of the most productive paradigms in the study of visual attention: the way reaction time scales with the number of items distinguishes parallel, "pop-out" search from serial, attention-demanding search. I ask whether vision-language models (VLMs) exhibit the same behavioral signatures. I adapt four classic paradigms: feature versus conjunction search, spatial-configuration (T-vs-L) search, enumeration, and the tilted/vert...
arXiv cs.AI
·Farahnaz Wick
·
// relacionados
Leia também
Blog
Amazon ups India bet with fresh $13B AI infrastructure investment
Editorial
Jalapeño: a OpenAI projeta seu primeiro chip de inferência — e usou IA para fazer isso em 9 meses
Editorial
SkillOpt: como ensinar agentes de IA a melhorar suas próprias habilidades — +23 pontos em GPT-5.5
Blog