7 papers · 1 filter
Distinct dynamics of conceptual and referential disruptions in human reading and large language model processing
Rui He, Nihal Altay, Wolfram Hinzen
Linguistic meaning is grounded in conceptual content, from which reference to particular entities emerges as words enter discourse. To examine the processing dynamics associated wi…
The Changing Geometry of Grammar: Dimensionality and Neighborhood Reorganization across Transformer Layers
Samuele Vallisa, Federico Ravenda, Claudio Palominos +5
Transformer representations describe trajectories through high-dimensional vector spaces, which are shaped dynamically as tokens incorporate relational context across layers. Such…
Activation-Guided Neuron Intervention to Induce Alzheimer's-Related Computational Language Phenotypes in a Large Language Model
Rui He, Ercong Nie, Hong Jiang +3
Changes in spontaneous speech provide an early signal of cognitive dysfunction in Alzheimer's disease (AD) that large language models (LLMs) can detect. However, detection alone ca…
Cross-lingual robustness of LLM-brain alignment and its computational roots
Ni Yang, Rui He, Philipp Homan +3
Large language models (LLMs) reliably predict neural activity during language comprehension and transformer depth has been interpreted as mirroring hierarchical cortical organizati…
The grip of grammar on meaning uncertainty: cross-linguistic evidence, neural correlates, and clinical relevance
Rui He, Claudio Palominos, Samuele Vallisa +16
Isolated word meanings are inherently uncertain. This uncertainty reduces when they are combined and anchored in context. We propose that grammar compresses meaning uncertainty cro…
Standardising the NLP Workflow: A Framework for Reproducible Linguistic Analysis
Yves Pauli, Jan-Bernard Marsman, Finn Rabe +8
The introduction of large language models and other influential developments in AI-based language processing have led to an evolution in the methods available to quantitatively ana…