Brain-inspired cognitive state modeling of complex English discourse reading: an LLM-parameterized hierarchical semi-Markov approach
A brain-inspired, large-language-model-parameterized hierarchical hidden semi-Markov model that encodes lexical-, sentence- and discourse-level representations and maps contextual embeddings to state-emission, transition, and duration parameters is developed.