2 papers
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…
cs.CL2025
Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models
Ruixuan Deng, Xiaoyang Hu, Miles Gilberti +5
We identify semantically coherent, context-consistent network components in large language models (LLMs) using coactivation of sparse autoencoder (SAE) features collected from just…