4 papers · 1 filter
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…
Performance of ChatGPT on tasks involving physics visual representations: the case of the Brief Electricity and Magnetism Assessment
Giulia Polverini, Jakob Melin, Elias Onerud +1
Artificial intelligence-based chatbots are increasingly influencing physics education due to their ability to interpret and respond to textual and visual inputs. This study evaluat…
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…
Evaluating vision-capable chatbots in interpreting kinematics graphs: a comparative study of free and subscription-based models
Giulia Polverini, Bor Gregorcic
This study investigates the performance of eight large multimodal model (LMM)-based chatbots on the Test of Understanding Graphs in Kinematics (TUG-K), a research-based concept inv…