arXiv Artificial Intelligence

Lesioned Multimodal Language Models Reproduce Aphasic Picture-Naming Patterns

1 hour ago 18.08.2026 07:00 👁 1 views
Lesioned Multimodal Language Models Reproduce Aphasic Picture-Naming Patterns

Quick summary

arXiv:2607.11621v2 Announce Type: replace Abstract: Aphasia following stroke commonly produces systematic naming errors with characteristic profiles, but whether general-purpose language models not designed for clinical simulation can reproduce these patterns remains untested. We investigated (1) whether lesions or controlled perturbations to a multimodal language model can reproduce different types of errors in picture naming, and (2) whether the framework can reproduce the complete error profile of individual persons with aphasia (PWAs). Using LLaVA 1.6, we evaluated perturbation configurati

Key takeaways

  • arXiv:2607.11621v2 Announce Type: replace Abstract: Aphasia following stroke commonly produces systematic naming errors with characteristic profiles, but whether general-purpose language models not designed for clinical simulation can reproduce these patterns remains untested.
  • We investigated (1) whether lesions or controlled perturbations to a multimodal language model can reproduce different types of errors in picture naming, and (2) whether the framework can reproduce the complete error profile of individual persons with aphasia (PWAs).
  • Using LLaVA 1.6, we evaluated perturbation configurati

Why it matters

“Lesioned Multimodal Language Models Reproduce Aphasic Picture-Naming Patterns” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗