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cs.CL2026
Informational Antilocality and the Locality Bias in LLMs
Andrew McInnerney, Shane Storks, Steven Abney +1
We consider the ability of transformer-based language models (LLMs) to learn what we call k-antilocal languages, i.e., languages that have no mutual information across any span of…
cs.CL2025
Discovering Properties of Inflectional Morphology in Neural Emergent Communication
Miles Gilberti, Shane Storks, Huteng Dai
Emergent communication (EmCom) with deep neural network-based agents promises to yield insights into the nature of human language, but remains focused primarily on a few subfield-s…