91 citations · 189 across the 25 of their papers we have counts for
7 papers · 1 filter
Quantifying the redundancy between prosody and text
Lukas Wolf, Tiago Pimentel, Evelina Fedorenko +4
Prosody -- the suprasegmental component of speech, including pitch, loudness, and tempo -- carries critical aspects of meaning. However, the relationship between the information co…
Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language
Eghbal A. Hosseini, Evelina Fedorenko
Predicting upcoming events is critical to our ability to interact with our environment. Transformer models, trained on next-word prediction, appear to construct representations of…
JOSA: Joint surface-based registration and atlas construction of brain geometry and function
Jian Li, Greta Tuckute, Evelina Fedorenko +3
Surface-based cortical registration is an important topic in medical image analysis and facilitates many downstream applications. Current approaches for cortical registration are m…
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
Chengxu Zhuang, Evelina Fedorenko, Jacob Andreas
Modern neural language models (LMs) are powerful tools for modeling human sentence production and comprehension, and their internal representations are remarkably well-aligned with…
Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain
Shashank Srikant, Anna A. Ivanova, Yotaro Sueoka +5
Our goal is to identify brain regions involved in comprehending computer programs. We use functional magnetic resonance imaging (fMRI) to investigate two candidate systems of brain…
Joint cortical registration of geometry and function using semi-supervised learning
Jian Li, Greta Tuckute, Evelina Fedorenko +3
Brain surface-based image registration, an important component of brain image analysis, establishes spatial correspondence between cortical surfaces. Existing iterative and learnin…
Dissociating language and thought in large language models
Kyle Mahowald, Anna A. Ivanova, Idan A. Blank +3
Large Language Models (LLMs) have come closest among all models to date to mastering human language, yet opinions about their linguistic and cognitive capabilities remain split. He…