Human Language
Human language research aims to understand how humans process, produce, and learn language, focusing on both its cognitive and computational aspects. Current research heavily utilizes large language models (LLMs) and vision-language models (VLMs), applying them to tasks like word sense disambiguation, cross-modal reasoning, and the analysis of language in diverse contexts such as online communities and medical images. These advancements are improving machine translation, text-to-speech synthesis, and other applications while also providing new tools for investigating fundamental questions about human cognition and language acquisition.
Papers
MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives
Wisdom O. Ikezogwo, Kevin Zhang, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Linda Shapiro, Ranjay Krishna
Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models
Malak Mansour, Ahmed Aly, Bahey Tharwat, Sarim Hashmi, Dong An, Ian Reid