4 papers
MAP: A Benchmark on Multimodal Accessibility Planning for Real World Places
Jason Armitage, Ioannis Tsochantaridis, Linda Mazzone +3
We introduce MAP, the first benchmark to evaluate multimodal AI systems as assistants for users with accessibility requirements when planning visits to places in the real world. In…
Anthropomorphism and Trust in Human-Large Language Model interactions
Akila Kadambi, Ylenia D'Elia, Tanishka Shah +8
With large language models (LLMs) becoming increasingly prevalent in daily life, so too has the tendency to attribute to them human-like minds and emotions, or anthropomorphize the…
Embodiment in multimodal large language models
Akila Kadambi, Lisa Aziz-Zadeh, Antonio Damasio +2
Multimodal Large Language Models (MLLMs) have demonstrated extraordinary progress in bridging textual and visual inputs. However, MLLMs still face challenges in situated physical a…
Evaluating point-light biological motion in multimodal large language models
Akila Kadambi, Marco Iacoboni, Lisa Aziz-Zadeh +1
Humans can extract rich semantic information from minimal visual cues, as demonstrated by point-light displays (PLDs), which consist of sparse sets of dots localized to key joints…