105 citations · 263 across the 7 of their papers we have counts for
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physics.ed-ph2025★ 6 cited
Multimodal large language models and physics visual tasks: comparative analysis of performance and costs
Giulia Polverini, Bor Gregorcic
Multimodal large language models (MLLMs) capable of processing both text and visual inputs are increasingly being explored for uses in physics education, such as tutoring, formativ…
physics.ed-ph2025★ 22 cited
Multilingual Performance of a Multimodal Artificial Intelligence System on Multisubject Physics Concept Inventories
Gerd Kortemeyer, Marina Babayeva, Giulia Polverini +2
We investigate the multilingual and multimodal performance of a large language model-based artificial intelligence (AI) system, GPT-4o, using a diverse set of physics concept inven…